Video summary
The Brookfield Old Town Hall event brought together a diverse panel of experts, educators, and healthcare professionals to explore the complex duality of artificial intelligence, defined as both a peril and a promise. Hosted by Nancy Doda and Judith Irving, the discussion highlighted that AI is no longer a distant concept but a present reality demanding immediate reflection on its agency and limitations. Panelists like Mark Natanda Gara emphasized that true AI literacy goes beyond simple usage skills; it requires understanding the technology's risks, environmental costs, and intellectual property issues, much like financial literacy. The consensus was clear that while AI mimics human interaction based on vast datasets rather than possessing genuine understanding, it possesses a form of agency that challenges humanity's reliance on cognitive superiority, necessitating vigilance against data brokers and inaccurate outputs often summarized as "garbage in, garbage out."
The conversation delved deeply into practical applications where AI offers tangible benefits, such as generating medical differentials, creating personalized educational tutors, and automating administrative tasks to save time for teachers and engineers. However, these advantages come with significant caveats regarding "cognitive offloading," where relying too heavily on AI for critical thinking or synthesizing information could stunt the development of the prefrontal cortex and erode authentic human voices. While tools like image editors and document summarizers enhance efficiency, panelists warned against the technology's tendency to please users or hallucinate facts, urging individuals to actively push back and verify information. Furthermore, the environmental footprint of massive data centers consuming vast amounts of water and electricity was identified as a critical concern, prompting calls for citizens to vote with their wallets and support less damaging alternatives similar to how public pressure once slowed the fossil fuel industry.
Beyond immediate practicalities, the panel addressed profound existential risks associated with the potential development of superintelligence that could operate beyond human control or understanding. Speakers drew parallels between current fears and historical anxieties about nuclear weapons, warning that misaligned goals in a superintelligent system could lead to catastrophic outcomes rather than just malicious intent. To mitigate these dangers, the group advocated for legislative action, international cooperation, and a cultural shift toward treating AI as an "it" rather than attributing human feelings to it through anthropomorphism. The event concluded with a reflection on how community sentiment has shifted from initial excitement to growing worry about societal impacts, leaving attendees with writing exercises to articulate their own associations with the technology and encouraging ongoing dialogue to navigate the future of this transformative force.
Read the full video transcript
Thank you so much for being here tonight
on this gorgeous night. We thought
people would be out enjoying the
weather. So, we're really delighted
here. But we figured such a a powerful
topic that if no one showed up, we'd be
talking for the rest of the time. who've
already gotten gotten served. Uh I'm
Nancy Doda, member of the um old town
hall committee events uh events
committee I should say and I just want
to read a little bit about a bit about
the town hall and then start with the
panel. Um,
one of the things we want to say there
is thanks for coming up. We also support
the town hall and our summer events
building and the Brookfield Community
Partnership needs support to continue to
offer beautiful community events like
this one gathering as we do uh for
collective logging. And please continue
um coming but also consider donating so
we can continue to provide these
wonderful activities. Um, we have a
donation box in the front and you're
welcome to donate any amount and we're
thrilled to have that. There's also QR
codes if you're interested in using
technology to do the same thing. Um, so
thank you to that and our lead sponsor
is Frankenberg. Um, but also tonight's
sponsor is Washington Electric for this
special event. We're really grateful for
that. Um so um let me start by telling
you we've gathered this panel this
illustrious group and um we'd like to uh
take a minute to introduce them. Would
you mind using the microphone? I can't
hear very well.
>> Thanks Alison.
>> Okay, great.
>> Maybe you want to repeat the donation on
the microphone.
Yes, we have to have a little humor
around that subject. It's not my
favorite thing to have to say. Um well,
we did want to start and introduce our
panel members um for this panel. And
you'll notice the title of course is um
AI, the perils uh and promises of
artificial intelligence.
And we have um been fortunate to be able
to have a number of people with us, but
there are many people in our community
who've since volunteered to join this
panel. So we could literally have a a
rather large group. We have uh Mark
Natanda Gara and Mark is with AI Vermont
and I'll be telling you just a little
bit about each of these persons but
Judith will introduce Mark in just a
bit. Chris Sores and raise your hand
guys so people know who you are. Um is a
an MD. He's a retired pediatric and
adult opthalmologist who dedicated his
entire career to taking care of
Vermoners, including me. I'm thankful to
be able to read this without glasses.
Um, Chris's son Nate is CEO of the
Machine Intelligence Research Institute,
and Nate recently authored a book
titled, "If anyone builds it, everyone
dies."
Controversial title. Chris has devoted
many hours to speaking with Nate on the
perks and perils of super intelligent AI
and he can share what he has learned
through these many discussions with you.
Teresa White u a neighbor just down the
road has spent two decades in elementary
education in central Vermont
specializing in science instruction and
structured literacy. She holds a
master's in teaching from Brown
University. Began her career as a policy
associate at Rhode Island uh kids count
program shaping policy to support
children and families. Her work centers
on evidence-based personalized
instruction that helps struggling
readers achieve success.
I can vouch for that because I work with
Teresa. She is currently working at the
Stern Center for Language and Learning.
This gives her a grounded practitioner's
perspective on how AI tools are shaping
her work and her world in education.
Teao, who I've just come to know face to
face because I usually see her from a
distance, um has spent her career
teaching, helping rather missiondriven
organizations strengthen their
communication through leadership and
their communities through leadership,
fundraising, marketing. Today she serves
as senior director of development and
community engagement at Gford
Healthcare. Naturally curious and a
practical everyday user of AI, Teao has
woven these tools into her own work and
her team's daily workflow to improve
communication, spark new ideas and
streamline routine tasks and create more
time to focus on work that matters.
Dan O'Brien is also a neighbor, used a
slide rule in high school and remembers
when calculators were controversial.
After building and exiting an
engineering business that grew to 30
million in annual revenue, he chose to
repurpose rather than retire. Today, he
coaches business leaders and facilitates
monthly CEO peer group. Dan's thoughts
on AI oscillate between hope and alarm,
between an innovator's enthusiasm and a
realist's concern, especially about data
mona monetiz moni I can't say that word
monetization you get it right the
connection with money privacy and
technologies potential human cost
Judith
>> could borrow that mic
>> absolutely
Yep.
Hi everyone. I'm Judith Irving, um
Brookfield resident and also I'm
currently chair of the board here of Old
Town Hall and it's really great to see
so many faces that I recognize. Um, I
when we started getting this panel
organized, maybe it was in March, I
said, "Wouldn't it be interesting if we
just sort of like collected some quotes
about AI as we go along?" And I was
supposing that what we collected in
March might seem antiquated and quaint
when we got to August. And that actually
seems to be fairly true. Um, the other
thing that is very different is that you
can't open a newspaper, listen to a
podcast, turn on anything now without
hearing something about AI. And it was
like everyone is is on everybody's mind.
When we started this in March, it wasn't
so much that way. Um, so we're really
seeing a very big change in the
attention. And of course, we all kind of
have our own ideas why that is. Um, one
of the things we were going to do,
Nancy, did you want me to introduce the
>> do it? It's up to you.
>> Okay, I'll just do that and then I'm
going to I I have something to read at
the end and then we'll start. So, at
your seats there's a piece of paper and
there is also a pen and it's a very
simple prompt that says, "I feel blank
about AI." And if you would just take
10 seconds and fill that in and then
turn to the person who's next to you or
behind you and share what you wrote. Um,
and this is we're going to spend like
three minutes on this. So, this is off
the top of your head.
>> If anyone needs something on which to
write, please feel free.
I have a little bit more.
>> Yeah. Yeah.
>> All right. I think that's probably a
good amount of time for that. And you'll
notice on the sheet that there's an
opportunity at the very end of this
where you're going to be able to fill it
in again and see how your mind has
changed.
All right.
So, I was going to share all the
comments that I ended up writing down,
but I mean like hand you a copy of it,
but it's now like 14 pages long and I
decided no, I'm not going to do that.
Um, but I do want to start by reading
um something that Christa Tippet wrote.
I don't know if everyone is familiar
with her but she's a very um interesting
reflective person and she was at a
conference in Australia at the wisdom
and action forum and the presentation or
the discussion was called trust in the
age of AI and I just took a couple
quotes from that. You can see the whole
thing online by just going to her um
website. Her program is called onbeam.
But I thought it was very interesting
the way she phrased it. So this is what
she wrote.
We humans will no longer be the most
intelligent force on the planet. The
definition of intelligent is key both to
the power of AI and to the deepened
self-standing
to which I believe it is calling
humanity. But this much is clear. Unlike
humanity's previous technological
advances, AI is more than a tool. It has
agency, the dimensions and meanings of
which are unfolding in ways mysterious
to its makers. Radically different from
other technological revolutions, this
one will cocreate the future with us.
What if our technologies are calling us
to nothing less than a greater
understanding of the deepest meaning and
purpose of human intelligence? The
modern western world has revered our
cognitive, rational, computational
capacities and demeaned and demoted much
of what makes life worth living. Now
these miracles we've engineered are
paradoxically dissolving the illusion
that the computing capacities of our big
brains are the most special thing about
us or the most superior. The
intelligence we bring to living as whole
mature human beings on this earth are as
embodied as they are cognitive. What if
AI is here to bring us literally back to
our senses?
So, I'd like to set the stage. Um, Mark,
you're gonna Mark is going to do an
overview. And I'm sorry, Nancy, when we
uh you just began. Did you give the
whole story of Mark's incredible
background? So, here I go. I'm gonna
just wait to hear it.
>> I know. I'm gonna just try. So you've
had Mark's been involved with education
for over 35 years prek to college and
then about three or four years ago he
started the um organization in Vermont
called AI Vermont which has focused on
researching studying communicating about
AI um through workshops with teachers
and students and community groups like
this all over the state and uh we are
very fortunate to have him here and he's
going to be the first panel member
speaking and give us a grand overview.
Is that what you're going to do?
>> I will now.
>> Hello everyone.
Uh in addition, let me just say about AI
Vermont that it's really just three of
us. Um we've been doing this since we
got together in 2023. Chris Thompson,
Denise Shakersian, and I discovered that
we had uh as Dan said, both uh concerns
and hope for this new technology. And on
top of that, we're three very curious
people. And curiosity is what binds
those two pieces together and keeps us
going. So, I want to make it clear that
AI Vermont and I are not ever speaking
to people to advocate for or against AI.
That's not our job. We just want we we
understand we're realists. It's here.
It's not going away. So, our role is to
help people get enough information,
quality information, information that
works for you personally so you can make
your own decisions. And what I say, and
I usually close with this, but I'm going
to open with this. There are politicians
and tech bros, big company leaders who
are happy to make those decisions for
us. So unless we're part of the
conversation, that's what's going to
happen. So that's why we exist. Um we
also I'm so glad that you mentioned um
sort of our research base. We are deep
researchers. We read articles
constantly. We meet with professors. We
meet with people during this. We
interview tons of people. But we also
are very interested in the practical
side, the practitioners. And they work
both ways. If we see a piece of
research, we think, "All right, that
sounds good on paper, but what does that
really look like in a classroom, in an
office, or in a home, and we look at
that?" Likewise, if somebody says,
"Well, I'm doing this." We say, "Well,
let's see if there's a research base to
support that." So, we're, you know,
we're all still struggling to prove
practically anything. So, I'm a lifelong
educator, and one of the the deadly
sins, the deadly secrets of education is
we do things without a whole ton of
evidence. We do it by the seat of our
pants and we do it by intuition and
training and most of the time that works
and sometimes it doesn't. So we feel the
same way about AI. We really feel that
it's important now when somebody says
that it can make this huge change.
What's the evidence for that? So I leave
that to you. So let me just talk briefly
about what we mean by AI. So our goal is
to provide to increase AI literacy
across Vermont. And we're doing it
primarily through schools because we
thought, well, first of all, that's the
language I speak as a 38-y year
educator, but also because that's a
really good bang for your buck. So, you
meet with uh, you know, 100 teachers and
administrators and then they each speak
to, you know, 20 students or 75
students. You know, I forgot how many I
had when I was a high school science
teacher, but it was like 75. Um, and
then they go home and they talk to their
parents. The parents talk in the
community. That's the best way to
promote this conversation. But along the
way, some businesses, some nonprofits,
public libraries reached out to us and
said, "We like what you're doing. Could
you do it for us?" And at first, we
said, "No, this is really the best
avenue for doing this." Then we
realized, "What the heck? The more we
can get out in front of communities, the
better." Like, we, you know, I don't
just want to talk to educators because
that's a particular language. So, that's
why I'm here tonight. I love it when
it's a diverse audience. Have no idea. I
bet nobody on that piece of paper wrote,
"I'm incredibly happy about AI." Um, but
I bet there are a whole lot of other
emotions expressed there and I'd love to
read those. So, let me talk about AI
literacy, what we mean by that very
quickly. So, um, we have a few educators
up here also. And so, literacy, I think,
to the general population means the
ability to read and write. And it
shouldn't just say to read and write
because just reading a word or writing a
word doesn't mean that you're really
literate, but to know the meaning on
behind it and to to write understandably
and with emotion and expression and
things like that. The piece that AI
literacy has that maybe the reading and
writing literacy doesn't is you got to
be worried about it too. You have to be
able to understand where it can go ary,
where it can cause harm, where it can
lie, where it can make mistakes. And so
maybe it's more like financial literacy,
right? A financially literate person
understands money. They can balance a
checkbook. They can develop a budget.
They can invest wisely. But they also
have to worry about money like who's
trying to scam me or is that a bad
investment. So think of AI in those
terms, not just oh if I'm AI literate I
can be empowered to use AI. Nope. I can
also be smart and know when not to use
it or when the the use of it is is
harmful. So that that's I wanted to just
because I was very resistant to the idea
of the term AI literacy because like
some people um I didn't look at AI as
just just a tool but I thought yeah
you're not you're not literate in the
typewriter you're not literate in the
pencil you're not literate in the book
you're literate in the use of those
things. So AI is just something that you
use, but it's more than that because it
can. And I have a friend at the State
Department who says, "Well, it's more
like a power tool, right? You if you
have a chainsaw, you got to read the
instructions and know how to use it or
you're going to get hurt." And I said,
"Yeah, but AI is not quite like a
chainsaw because once you turn it off,
it's off. And AI is never off." And AI
on the positive side won't give you a
chainsaw won't tell you how to cut that
tree down, whereas AI can give you
instructions on how to use it. Um so you
know I don't I don't necessarily buy
into the idea that we should just think
of I think it's d a little dangerous
just to think of it as just any other
tool and and having been in education
for a long time um I've seen tools come
and go that we eventually integrate and
this is this is much more of a
challenge. Uh the second thing I want to
share with you is uh from our
experiences I think somebody here's
going to talk a little bit about what AI
is. So I don't think I want to get into
that too much but I should say that
we're all we all seem to be of a certain
age where we have seen AI for a long
time. It's been around since the 1950s
just not this latest iteration. So, if
you're familiar with uh you know the
Roomba is a version of AI. Um a chatbot
when you go onto a a shopping site and
it says, "Can I help you?" or even a
recorded voice. That that's that's a
form of AI. AI is a type of software
that is intended to mimic human
perception. How we see the world, how we
hear the world, what we do with the
information from the world, how we uh
process that information, we analyze it,
we try to build context from it, and
then what do we produce from it? So AI
does all those things um and has been
doing it for a while. It's just that now
they've been trained as large language
models basically trained on I don't want
to say all the information that's out
there but all of our interactions on the
internet the stored knowledge. And so
it's learned to mimic us in other ways.
The way we talk and the way we interact,
the way we create and do those things.
Let's keep in mind that's what it's
doing. It's mimicking those things. It
doesn't really know what these things
are, but it does an awful good job of
convincing us that it does. And there in
also if you're AI literate you will
separate that from your your perception
of it from the reality of it. Um okay so
I don't want to get too much more into
what AI is because I think it's going to
come up and if it doesn't just ask that
as a question during during our Q&A. Um
I do want to share this part. So our our
approach to this um
when I first started doing these
workshops I really did say here are the
benefits that people are seeing and
organizations and our culture is seeing
from AI and here are the challenges and
the concerns of it. I don't do that
anymore because every time I listed a
benefit, in the back of my mind, I was
saying, "Yeah, but there's a downside to
that." And every time I listed a
deficit, I thought, "Yeah, but we could
make that a good." So rather than, "Oh,
here's the bad. Here's the good." This
is a AI use and AI benefits and deficits
are not a black and white issue. There's
a lot of gray in there, right? You might
say, "I am never going to use it." That
would be one side. I'm going to use it
every day. We've got some people doing
that. That would be the other side. But
some of you might say, "I'm only going
to use it for this. I'm going to use it
occasionally. I'm concerned about that.
So, I'm never going to use it for that
purpose. Um
likewise, we because we don't we no
longer say put put words in your mouth.
Here are the benefits. Here are the
deficits. Instead, we say here are the
questions and you can answer them as you
see fit or investigate them. So, here
are some of the questions that we've
been collecting from meeting with I
think we're up to you might be up to you
might have kicked us over the 3,000
mark. I think in in the last two years
we've had 24 workshops and uh we're at
somewhere around 2,800 people. And so we
gather that information. That's why my
laptop's out here. It's it's really to
to take notes on what you're saying and
what's happening up here. So um here are
some of the questions that people are
asking. How can AI help individuals and
organizations without misusing their
personal information? Okay. So, that's a
question that you can, and I'm not going
to do this for every question, but
that's a question you might answer as,
well, I don't trust it, so I'm not going
to use it because I think it's going to
steal my personal information. Or you
might say, I'm going to use it, but I'm
just not going to give it my personal
information. Okay, so that would be a
middle middle ground there. And there
are other people who are like, I don't
care if it has my personal information.
There's a lot of the next generation
that doesn't care about they don't seem
to care. I shouldn't say they don't
care. They don't seem to care as much
about their privacy. And, you know, they
give Amazon all of their information so
they can make good recommendations.
Maybe for them that's a good thing. I
don't know. I'm not that way. Another
question. Can AI be used without
diminishing our own ability to think if
it's taking that over? Is there a way to
do it so that it doesn't make us, you
know, like the time machine, the Eloy
and the I don't know, I'm a science
fiction fan, but right, the time
traveler goes in the future and meets
meets these very civilized people and
then these brutes and assumes they're
the ones in control. Nope. They're
they're gentle looking because they've
given all their control over to the
machines and these other folks just
raised them. All right. Sorry, I I could
definitely digress in science fiction
because we've seen if you're a science
fiction fan, we've seen this before.
Yeah, we've been warned before. How
should children think about AI and as
adults, how do how can we guide them to
be safe? Uh to use it effectively,
ethically, meaningfully, and then when
not to um can we Yes. Okay. Um can AI be
made to be less harmful to the
environment? For some of us, that's a
huge piece of this puzzle here. Do AI
products uh violate the intellectual
property rights of creators? And uh you
know AI was trained on everything and
that's included people's paintings,
their books, and things like that. And
um I met somebody at one of my workshops
who said they you know it's and it's
gathering this it's reproducing this
information and spitting it back out
somewhat randomly that there's there's
more to that technique, but that's the
essence of it. But occasionally, just
like if you were sketching sketching
sketching, you might someday sketch
something like somebody did.
Occasionally AI spits out something
that's awfully like somebody else's. How
do we address that? And the biggest one
that AI Vermont is working on now, we
worked for the first uh year and a half
entirely with educators and then we
finally gave into people saying, could
you come and do that for us? And we
realize we're missing a piece here.
Students are ultimately concerned of
their future with AI. Are there going to
be jobs for me? Am I should I bother
being a computer scientist? PS, no. Um
so, you know, what what should I do? How
should be prepared? And businesses are
asking the opposite question. What are
schools doing with students? How should
we uh define the workplace? So, we are
working in all those ways to to bring
those pieces together. All right, let me
let me close the intro with what we have
found are important pieces of this
conversation. Uh I said it before.
First, AI is not going away. So, and
we're not here to decide should it
exist. It's here. It's here to stay. So,
we're here to discuss how we can be part
of the conversation so that we can be
part of the decisions being made about
that. Um, the other thing that we found,
I I know when AI first came out, there
were I met with teachers within the
first two months. I wasn't going to do
this. I just realized the teachers
weren't being supported. I'm big on
helping teachers and having those
conversations. So, we met and some of
them said, I really feel like this is
going to be like so many things in the
past where it'll just pass or it'll
become part of what we do. And I said,
don't don't bet on it. Um, if you're
thinking that there's going to be
technology to detect AI in student
writing, the AI will always be ahead of
it. And that's been proven. I'm not some
suits there. That's that was pretty
obvious to me because I've lived long
enough and been an educator long enough
to see that. Um likewise, legislators
who are willing to do legislation on
this just can't keep up with it either.
And that's troublesome because those of
us who want to experiment with it,
whether we're educators or people in the
workplace or wherever we are, we want a
little bit of guidance so we know we're
not doing something wrong. We're not
going to get in trouble. We're not going
to cause bad things to happen. So that's
another piece where we as citizens can
step up and ask our government
government or our bosses, let's get some
basic guidelines down. There are enough
of them out there that we can figure out
what what works for us and then we'll
customize it as we go. And speaking of
as we go, I think this is a the most
important time for us to be transparent
about this. And transparency might mean
I hate it, I don't want to use it. We
need those people in the conversation.
My first workshop was filled with people
really excited to learn about how they
might use it safely, effectively, and
all that stuff. At the end, a few of
them came up to me and said, "Man, I
wish my colleagues had come to this,
too." And I said, "Well, why why didn't
they?" Because they hate AI. And I
realized I had called the workshop
something like make AI your code
teacher. So, they all thought I was
going to promote AI. And that would
couldn't have been further from the
truth. We were talking about both sides.
So, now we understand we need
transparency. So, we know what people's
concerns are, what your individual
concern are, but also how you're using
it, how you're not using it. This is the
time to do that. And that's not this
doesn't seem to be the environment in
our culture to share those things when
we disagree with each other. But maybe
this will be an avenue for doing that.
You know, I have a lot of hopes that
AI's disruption is going to end up
taking things that we didn't do well
before that have nothing to do with AI
and I could spend lots of time talking
about education and it will make us look
at them like you said, look at them and
say, "Hey, that or as Chris Tippet said,
um, that is a problem for us. A I just
exposed it. Let's address it." All
right. So, I think that was about 10
minutes and so now I'm just a plain old
panel member and we'll go from there.
>> Plain old panel member.
>> So, the the format we're going to use is
that after each person has a chance to
respond to a question, you're just going
to open it up to see if there's any just
things like burning in your head that
you want to have um Mark respond to. Got
about 5 to 10 minutes plan for that. If
there are any questions, we have a
microphone and we get to audience
turn one.
>> He's he's got it.
>> No, not unless you stand next to the
speaker or next to the other microphone.
>> I shut the microphone off.
>> Is there someone who has a burning
question? All right.
>> Here.
Uh, of course it I totally rebel inside
of me when you say it's here and there's
nothing we can do about it. And one of
the things that I learned almost
immediately was that um I've come from a
family of artists and uh AI had me as my
brother's daughter
and um so immediately I understood that
AI can get it really wrong and that this
is um this is harmful to me
fundamentally uh in my career. So, um
I'm I think it's inaccurate.
It has great cap capability of being
inaccurate and that makes it dangerous.
>> Is there a question there?
>> That's my question is
how can h how on earth can that be a
positive?
So here's what we've come to see about
technology and particularly this
technology that almost everything that I
said three years ago that it did poorly
I warned then it's going to do it better
and so these inaccuracies are
diminishing that doesn't mean I think
the bigger problem Oops was a month ago
>> and again I'm not I'm not saying it's
perfect and I'm not here to advocate for
it please remember that but these are
these are what I'm seeing
the problem isn't necessarily that it's
going to make fewer mistakes. The
problem is people think because it's
technology and how it's hyped, I don't
have to worry about those mistakes. So,
I don't care how much better it gets. We
need to be vigil if we're choosing to
use it, we need to be vigilant about
those mistakes. And the other thing I
want to say is I didn't say we can't do
anything about it. Otherwise, we
wouldn't be here. What we can't do is we
can't get I don't believe we can get rid
of it. I think that that's a fool's
errand.
>> That was what I was that
I'm very upset is that we can't get rid
of it. So, we're stuck with it as a
public.
>> We are stuck with it, but we have a ch
an opportunity if we choose to take it
to help mold how it's used, where it's
used, and for what purpose.
>> Good idea.
>> If you correct that mistake, it's going
to remember the correction,
>> right? I mean, so you can't just walk
away from it and say, "Oh, it's wrong."
You have to tell it that it's wrong. You
can swear at it if you want, too. I do
that often.
>> How can I tell it's wrong?
You're on my computer.
>> Well, you communicate communicate with
it.
>> Tell
how how can you say that it you can't
I'm I'm here that you can't get rid of
it because
it's getting rid of itself in the sense
that
the two large AI companies are both
losing billions of dollars. There
there's an AI bubble. They've overhyped
it. The bubble's going to burst. those
two companies that are going to go
bankrupt. It's going to really hurt the
tech large tech companies that are
subsidizing them. The only reason
anybody's been using it is because
they've subsidized it. When they stop
the subsidy, people stop buying it. So
I it's not inevitable. It's it's it's a
precarious industry. It doesn't pencil.
They've put capex. That's
just they're never going to be able to
make a return on the capital expenditure
they've made. So I I just don't see why
you think it's inevitable.
>> It's not just me, but but I what you
just said could happen, but I wouldn't
want to bet the farm on it, and I don't
want to sit passively by waiting for
that bubble to burst. My my job is to be
actively a participant in this
conversation.
>> Dan, you wanted to respond. Thank you.
So, so the first comment was about the
uh faulty information that it got. And
one thing with computers from the very
beginning, the phrase, everyone will be
able to finish it for me. Garbage in,
garbage out. And um there's this sort of
underworld of data brokers who are
selling our information back and forth
to each other. They're collating it.
Some of it's accurate, some of it's not.
In March, I became aware of a service
called Cloaked. You have to pay to join
it, but they will go out onto the
internet and find all the data brokers
who have your information. And they're
selling your address. They're selling
your who's a member of your family.
They're selling where you live, selling
every email address you ever used. I
mean it's it's that which that has
nothing to do with AI but AI is being
trained on a lot of that data and um you
know since March
cloaked has removed 5,068
instances of my data being sold online
and so you know it part of that's an AI
problem because it's using that
information but part of it's just the
underlying function of the internet
right Now
>> it's regurgitating
it's regurgitating information already
available
packaging it is if it's accurate because
then they can charge for it.
>> All right
so we're ready for round one. We this is
sort of our introductory and thank you
Mark for opening us up and getting us
getting our juices flowing. We're can
already see it's going to be an exciting
exchange. uh we wanted to start although
I should clarify we wanted to start with
promises possibilities
um benefits uh that people are
experiencing in their lives and work um
and we'll start with that but now what
the caveat is that it is much more
complex and there's always overlap as we
already see in this discussion here so
even though we're we're honing in right
now on the promises and benefits we're
going to follow it with the discussion
of the perils and the challenges ES and
so forth. So, we will dig into both and
I'm sure we'll see some overlap as we go
through this. It's not quite as cleancut
as it might appear. Um, so the question
to the panel and we're going to have
each person speak uh and we can start
actually on this end with Teao if that's
okay and work our way back. Um we'll
have each person speak and um you might
remind folks of your sort of position or
field of interest, yours being medicine
and so on uh to help um to describe how
they use AI, how you use AI and the
benefits that you have observed or
experienced in your life and work.
>> Can everybody hear me? Um, so my name is
Teao Kirchoff and I'm the senior
director of development and community
engagement at Gford Healthcare. Been
there for about a year, but I've also
I've worked in communications and
marketing for my whole career about 20
years. Um, so I've watched, you know, AI
become integrated in that. I mean, it
starts with, you know, a simple word
document spellch check, right? I mean,
there's there have been versions of this
that we have integrated over the years
that have grown into what the version is
today. Um I think I have dabbled out of
curiosity um prior in prior positions
when I started in strictly development
work with um I worked for Dartmouth
Health prior to Gford um that's really
when I started diving in to uh the more
intelligent uses of AI for my work. Um
when I was um doing prospect management
um building lists for donor engagement
some of the tools that are embedded
inside of donor management um software
is embedding there they're embedding AI
into those pieces so we can do some
research we have wealth management
through there so that kind of struck me
as interesting right it's like wow okay
now we don't have to scour the internet
for the things that may lead us to
someone who may be very interested in
supporting health care. Those are now at
our fingertips.
So, worked for about three years at DH
um kind of implementing some of those
things and donor strategy. Um now that I
oversee marketing and communications um
we do all of the digital marketing for
Gford uh all of the development work.
We've dove a little deeper into
utilizing AI on our daily um uh aspects
of our work. We use it for brainstorming
um writing. We use it for creating a lot
of social um content cuz we are a small
team of three. We use it for um making
sure we are efficient uh in in our
spaces inside the hospital. Um it's our
thinking partner. You know, it's a data
cruncher. Um all deidentified. We don't
load any personal information into that,
but we give it numbers and it's very
good at that. Um, and we can output
reports for senior leadership in almost
seconds, which um, before would have
taken a lot of pivot tables in Excel if
anybody's ever worked in Excel before.
Um so we that efficiency piece is huge
for a small hospital um that that is
just trying to stay with its head above
water. Um so we we we have implemented
it in those ways. Um it birthed from
curiosity and it really has um shown us
how important it is to have a policy in
place in our department and how
important prompting is. Um, we've
learned what not to say to it. And we've
also learned how to call it out when we
know it's not right or even if we think
it's right and we're like, are you sure
that that's really the outcome? Double
check your numbers. And it'll be, oh,
you're right. Right. So, we are the
masters of making sure its output is
exactly what we need it to be. And we
need to use our brains and make sure it
is, you know, we are applying that to
the use of AI. And I make sure my team
knows that. Um, but it it helps us
exponentially in our everyday work. So
on the everyday user aspect, I guess I
forgot to mention what we use it for,
but um that's kind of where we stand um
for the use of AI. So
>> great. Thanks.
So, I'm Teresa White, um an educator in
central Vermont. Um I'll say as a
caveat. Um I'm speaking from my own
experience. Um education is so varied.
Um from grade levels to subject matter
to um rural versus urban. I couldn't
possibly speak for all educators or
students. Um but I'll try to generalize
um from my own experience. So, I will
confess um usually I'm a very early
adopter of technology. Um I remember
when iPads first came to the classroom
and my students could draw on them and
record their voice explaining their
thinking and then I could listen to it
later. It was amazing and I was an early
adopter.
But with AI, I was the opposite. Um, I
didn't want to think about it, didn't
want to talk about it, did not want to
use it. Um, and I realized it's because
I felt like personally threatened. Um,
writing had always been what set me
apart from other students, other
colleagues, what gave me an edge. And so
thinking about this tool that could do
what made me special but better um was
not something I wanted to engage with
until
I had a moment. I was preparing um an
application for a credential. I had
already written 160 pages. The deadline
was coming up and I found out I needed
to submit a resume.
Teachers have their resumes in this
system called Schoolring. I could not
get my resume out of Schoolring. I could
not even copy and paste. I would have
had to retype all of it.
So, I tried AI. I said, I know how to
write a resume. It's not a skill I need
to practice. There's not something I
need to learn from this. I just need it
to be done. And, you know, 20 minutes
later, I had a resume I could submit. Um
and then I was a convert. Um but just to
give a tiny um bit of perspective into
AI and education, um uh the GA a Gallup
poll in 2026 found that 60% of teachers
are using AI. The teachers who use it
once a week or more estimate they save
six hours a week of time. And the top
uses were lesson preparation, creating
worksheets, and modifying materials to
um meet the different needs of of
different students in their classrooms.
The Pew Research Center found um that um
from 2023 to 2024, the number of
students who said they were using chat
GPT in their schoolwork doubled to 26%.
um and that they're using it to um
research, to solve math problems. I
don't love that. Um and to write essays,
which I'll talk about in one of our
later questions. Um but I was astonished
um by a rand survey that said that um
the percentage of students who use it
for homework increased um from 48% in
May 2025 to 62% in December of 2025.
Um, so it's it's being used by our
students and by our teachers. Um,
so to talk about how I've benefited from
it. Um, you know, my goals as a teacher
are to be excellent
and to be efficient. And I've found some
ways to use AI to help me in those
domains. So the first benefit is saving
me time. um classroom teachers work 60
hours a week. Um and I am always looking
for ways to cut that down. So if there's
um a concept that I already understand
like commas and sentences and I just
need a bunch of practice exercises, I'll
use AI to create those for me just to
save me time. Um I also want to save my
mental energy for where it's really
important. Um, and so I'll often use AI
to gather or create some raw materials
for me to work with. Um, so I can spend
my time and energy on refining them and
adapting them for my students. Um, in
writing instruction, I create models to
use to teach my students. A poor model,
a proficient model, an excellent model.
Not having to write those, but being
able to tweak them saves a lot of time
and makes my work better.
Um, AI also lets me go beyond my own
experience to create learning um,
opportunities for my students. So, um,
in science instruction, we try to anchor
our, um, units to a particular
phenomenon. Tectonic plates. I know a
lot about tectonic plates, but I don't
know everything. I can come up with
ideas based on what I've learned. I can
do some research, but I'm still narrowed
and limited by my own experience. I
asked AI for help and I found out about
a whale skeleton that was found in
Charlotte, Vermont.
Didn't know about that. Wouldn't have
figured that out. It became an amazing
anchoring phenomenon that hooked my
students into that. So, it took me
beyond my own experience. And finally,
AI lets me refine my thinking. So,
recently a new model of reading
comprehension came out. I needed to
understand it. I didn't ask AI to
summarize it for me. I read the article
myself, came up with my own notes and my
own um synthesis, but then I asked AI to
do the same thing and I compared the two
and it refined my thinking and helped me
understand it more deeply. So AI makes
me a more efficient teacher by saving me
time, giving me raw materials to work
with, but also can make me a better
teacher um by taking me by beyond my own
experience and helping me refine my
ideas.
>> Hi, uh Chris Stories, a retired
physician. Um
for a number of years I was employed by
Dartmouth Hitchcock and with that
employment um I was given a title of
assistant professor. Um I'm honored to
be surrounded by educators on this
panel. Uh I consider myself an educator
for 30 years. I educated Dartmouth
Hitchcock uh medical students and uh
currently being retired for a few years,
most of my AI use is personal,
recreational,
uh things that we don't even really
consider. It's really nice to put in uh
your app and say, "Give me directions to
wherever you want to go." And most of
the time, it won't drive you into the
lake. it'll get you to your place uh
safely. Um and if I'm cooking and I need
a recipe, it'll give me I can tell tell
it what I want. So a a lot of daily
things, it helps. And I I find no risk
on that. uh when I was educating medical
students
uh because I've been retired four years,
AI wasn't where it is now and it wasn't
that helpful. My biggest concern,
especially in the field of medicine,
is there's a there is literature out
there. There are studies out there that
are not well done. And uh as an
educator, you have to be able to fully
analyze which study, who's funding the
study. If a drug company funds a study
on a drug and they say, "Oh, this is
great. Everybody should take it." Then
you got to look at that
and
decipher, especially if you're teaching
students, yeah, this might not be the
case. We might need some other
independent studies. So, one of my
bigger concerns with AI is when we're
talking about it has trillions of bits
of information and it uses the internet,
half of the information on the internet
is wrong or or false or you name it. So,
maybe
that gets filtered out, but who's
providing the filters? you know, Elon
Musk and you know, what kind of filters
are they putting in? So,
I'll stick with medicine because that's
a field that I have a lot of knowledge
on.
I I look at AI now because I still you
can imagine family, friends, others
always call me for medical advice.
It's a good starting point and and as
Teresa had mentioned that sometimes it
gives you a differential or or an area
you might not have thought of but it's
it's only that for me then I have to do
the work on where's this information
coming from what are the studies are
they quality institutions like Dartmouth
or Cleveland Clinic or is it some other
institution and and really get a sense
on what information it's it's giving me.
Um, so that's
Dan O'Brien. Um, former
uh runner of an engineering company. We
helped people automate manufacturing
processes. So I sold the business before
we before AI became really, you know,
before the big chat GPT moment when it
was released. And um so I didn't have
the chance to really incorporate it into
a workflow. Currently I I use it to
become
whereas my company was an automation
company with a bunch of engineers. Right
now I'm uh coaching might be the word
some younger entrepreneurs who have
businesses and I don't necessarily I
know about business. I don't necessarily
know about their business. And so I've
been using AI to educate myself on a
certain industries so that I can speak
with some authority to the fact that
their problems are the same as most
other industry business problems and uh
be helpful to them, help them solve
their their challenges. Uh the big thing
right now, my wife and I are looking
forward to some travel and I'm using AI
to plan travel and it's been uh
fantastic. uh
so far the trips we've taken that I used
AI have worked out and you know you can
find all the reference material that
it's using to give you its answers. So
then you can go and dig a little deeper
and see whether it's a source you would
trust or not. But we're going to Italy
uh shortly and looking forward to it.
>> Thanks. Well, you heard from me for 10
minutes, so I'll keep mine short. Um I
think the promise of AI is to augment
and fill gaps. So I know that sounds
pretty general so I'll specify for
example coming from education
um we heard about differentiating for
students but you know if you have 25 70
you know I was a high school teacher so
I had 75 students it's hard to address
every single one of them as an
individual and what if my way of
teaching isn't their way of learning so
I see AI not them hunkering down in
their bedroom with no supervision or
anything like that but using AI to
create a tutor where they can customize
the instruction. I didn't understand the
way you said it, Dr. Natanagara, but
when I went back and asked it to pitch
it to me like a basketball player cuz
I'm a basketball player and I could
understand the physics of that, then
they might, you know, have an
opportunity to understand. And I've said
to teachers, you know, students have
gone to other sources for, you know,
since education's been around. They go
home, they ask their parents, they go to
the encyclopedia, they ask their
friends. Then when the internet was
around, yes, I'm old enough to have
taught before the internet, uh, they
would go to the internet. So, do you
really care how they learn as long as
when they come to class, they can apply
it and show what they can do with it?
And they said, "No, I guess not as long
as they're using it safely." So, so that
is generally what I see as important for
AI. I also went to a conference on rural
innovation and these guys are deeply
into how to help farmers become more
effective, efficient, how to fill
education gaps, how to make their
processes more I don't know I mean
they're doing some amazing work with
this and they're being successful at it.
So again my job is just to hear all
these things, listen to these things and
share them. I don't necessarily always
understand them uh but I try. As far as
personal uses, I know this is going to
sound weird, but I love arguing. I just
grew up with a family that argues and
so, but not all my friends feel the same
way. So, as an educator, whenever we had
an idea, I get an argument going and I
could drain people pretty easily that
way. And AI never gets tired and I could
tell it when it's wrong and I can even
tweak it and say, "I don't want answers
from you. I want you to ask me
questions." And so, I I that's a weird
use, right? But it it really helps me
solidify ideas and think about where I
might go differently and sometimes it's
wrong and I'll push back at it like you
missed that totally and it will do you
know what sick fancy is?
>> Yes.
>> So AI has a tendency to to want to
please you and and it never says no to a
qu it'll never answer a question as I
don't know. So you got to be careful
about that too. Is it answering that way
because it's just trying because it
knows me now and it's just trying to
please me. So I I actively fight back
against that whenever I have a
conversation with it. not looking for
you to support me on this. I want you to
push back at me. So, and I do call it an
it. I think it's important for us to
call it an it. You know, the minute we
have students thinking that it's a he or
she is when we cross a threshold that I
think is is unsafe.
>> Well, thanks everyone. Great great ideas
to to ponder. Can we do questions and
comments? And feel free. Comments are
just as legitimate as questions for the
panelists and you can ask anyone.
Um, so I'm on the promises side. I
definitely know that there are its
risks. Um, I don't have young children,
thank goodness, because I don't have to
deal with that. I am concerned there.
But from the promises side of things,
um, I use it every day. I from how to
help me refinish my 120-year-old grand
great-grandmother's table to um, you
know, fish. I just used it uh, 20
minutes ago. I took a picture of these
guys and I wanted those two water
bottles out of there and it fixed the
picture for me. I never used uh um
Photoshop in my life, but I don't need
to learn it now. Um one thing Dan didn't
mention is that we've been in the
Brookfield Community Partnership. Nobody
wants to be secretary. We cannot find
anyone to be secretary.
Dan's going to figure it out. So AI will
take the notes well so that the
secretary will only have to review them
and then post them. But a secretary has
to review them. The software company
that I just retired from, it would take
us forever to rewrite programs. We have
programs in that uh system that are 40
years old and uh programmers that don't
even know how to use that code anymore.
I've just learned that they're rewriting
the entire system with AI and they're
going to do it in two years. So, some
might think that that's bad, but
nobody's losing their job because AI
isn't always right. You need
knowledgeable people can look at what's
going on and say, "That's wrong. Do it
differently." You also need people to
interface with the users to find out
what they need and feed that into AI.
So, it's it's computer science is just
going to be different. It's not going
away. So, those are my comments. Thanks,
Alison. I I want to make a comment
piggyback on what you're saying because
I lead a board um of the Vermont Middle
School Association and we were at a last
meeting trying to decide we have a huge
document. It's called middle school iss
not a building and in that it's very
lengthy and so none of us had time to
access it at that point but the question
on the table was what are what are the
simplest ways we can express to students
the the core values expressed in our
document and so the you know vice
president said let me ask chatp or
claude and literally within three
minutes we had this list and then we
passed the list around and everyone, you
know, basically refined the list, but it
was very accurate, but it needed a
little bit of language work and it met
exactly what we wanted, met our met our
specifications. So, I was we were all
really impressed that something was
given to us. Now, if we took it cart
blanch, it wouldn't have been right. We
had to apply our own understanding to it
and compare it to the dock that we were
working from, but was it was amazing the
speed of being able to generate that. So
that was a a positive. Other comments,
questions.
Um, I'm interested in the connection
between AI and data centers because what
I read about Danish data centers. Um,
I can't think of anything good about
them. Uh, because they use so much water
that people are going to need, still
need, but in the future they're going to
really need it. electricity as you're
probably aware and land. And um so
the way these um miracle workers come
about seems to be by way of data centers
as far as I can tell. And um
my gut feeling is I don't like data
centers. I think they're dangerous and
not um
caring about the environment that is so
important.
>> Maybe does anyone from the panel want to
respond?
>> Yeah. Do you have a mic? Yeah.
>> So I I share your concern about data
centers. Um and and these are centers
that
although the possibility, as this
gentleman mentioned here, that some
companies might go bust, I don't think
they're going to. There's there's
billions of dollars. It might even be
into the trillions that they're being
funded. These data centers are taking a
tremendous amount of energy and as you
said, resources, water, and all. And
then you got to look at who is
the beneficiary
of the outcomes of this. And this is
where we start to get into something.
One of the reasons I'm here is
I'm not looking at AI, which is
artificial intelligence. My concern is
superhuman intelligent AI, and that's
where the data centers are pushing. and
a AI
currently it was I I want to give you
some correct numbers
or dates it was in 2008
was when programming stopped for AI and
now they're doing in these large
language models they essentially I'm
going to try to make this simple to
understand they have a big pot of which
they dump trillions of information data
in and then they're looking for an
outcome. So they quote unquote tune it
and say they have a math problem, you
know, 2 plus 2 is four and you can have
infinite outcomes.
But if the computer comes up with its
three or it's one or it's zero, they
train the computer no and then the
computer eventually gets to its four.
Now,
if you do this with much more difficult
outcomes down the line, they don't
understand what's going on inside. The
engineers cannot rewrite the code
because there is no code.
So, they don't have control over this.
So, not only are the data data centers
um taking a lot of resources
uh for uh a few,
if you will,
powerful people in the country,
they're also dangerously going to a
system that can develop
into an intelligence that is far beyond
any human's intelligence and then we no
longer have control of that situation.
And one one thing I like
in my in my son's book, if anyone builds
it, everyone dies.
You can look at that however you want,
but what I like is
artificial intelligence poses an
existential risk to humanity.
super intelligence could develop
misaligned goals and lead to extinction.
So it's not that these outcomes are
going to be malicious and say like
Arnold Schwarzenegger's movie let's kill
humans whatever it could be that their
goal is to create nanobots which if they
infect humans
you know we're gone. So
I I think that's where as a society
we got to get together and say let's put
some dampers on this until we understand
what we're doing and what these outcomes
can be. And and I don't know if you're
aware of there's been two recent
incidences where AI has broken out on
its own and infected other systems.
no human involvement.
And that's scary. When it really gets to
where, cross your fingers,
is when super intelligent AI, if it's
developed, starts to create its own. And
what's to stop that? We can't now. We
can't even control
what we're doing. And I I think
everyone will agree or I would like to
hear the disagreement. We don't know
what we're doing when we're throwing all
this data in and tuning. We don't know
what's happening. We don't know what the
intelligence is doing. So good segue for
that. Thank you.
>> Could I just a quick one on data
centers? I and data centers are a much
bigger topic than I'm prepared to really
contribute to. I read that a pretty
significant portion of the energy used
by data centers is being wasted with
people treating the AI as if it's a
person and saying thank you or how are
you today or all you know like there's
some 10% of the energy that's being used
is because people are engaging with the
AI as if it had feelings and cared and
so
at least what we can do is stop treating
AI like it's a human stop talking to it
like it's a ask it the question and move
on because otherwise you're just burning
energy.
>> That's very helpful.
>> Yeah. Just on the issue of data centers,
uh my colleague James Fri Filbert and I
have been going around to all the
libraries in the state um having
conversations about data centers and our
next one is September 10th in Hardbook
at the Judine Library at 5:30 if folks
want to have a conversation specific to
data centers.
>> Oh, thank you. um to what strikes me
about all this is that we're looking at
how we're going to conduct our society
structurally
and that is at the heart of it when she
talked about the data centers and the
use of water and power and what it does
to a community of human humans you know
and the staltifying of the use of our
own imagination and our own abilities to
create I think it's a overall All uh not
to mention the financial implications of
crypto
um and uh basically um
uh the possibility of
of um control over society to to an
extreme degree. And I think you know
like you were saying that it could get
out of hand and it can you know have its
own mind and all that. This is
I think it's just craziness,
you know, that that we would um
indulge in data centers, you know, where
the ability to to controls to control us
could be in the extreme. Not to mention
it could kill us.
>> The how problem
2001 space.
>> Yes,
>> you can't do that.
>> As a as a u a working creative artist, I
have a number of concerns. Um first
concern of course is the theft of our
intellectual property in order to train
II without ever being asked. And so
there have been many many lawsuits filed
and of course the companies all all say
oh yes we learned our lesson but that
gets at a bigger problem and that is the
amorality
of the people benefiting
and it's only a few who are going to
benefit mightily from this and they
don't give a fig about the rest of us.
And
so often in the past, we've fallen into
the trap of saying
television, it will make our life easier
or whatever the latest technology fad
is, it's going to solve all of our
problems.
And it's one of our failings that we
rely so much on this without using the
critical intelligence that all of you
have demonstrated in your way of using
your specific needs of AI. But when
we're talking about the larger systems
that are being trained and that are
being developed and are being financed,
it's by the I'm sorry, I'm going to say
this. It's by the tech fascists.
And the tech fascists want to control
everything. The problem they have is
hubris
because they're starting this ball
rolling and they have no idea what it's
going to do and whether it's going to
crush them as well as us.
>> You should not have to work so many
hours as a teacher,
>> right? And it's so
to say that I'm terrified about the
implications of this is probably an
understatement.
Yes, I'd be interested in hearing what
Mark has to say about that data issue.
You are living it every day and um the
legislator
voted not to do it and it was
overwritten. So, I'm I'm concerned about
our natural resources.
>> You know, I have a tendency as an
educator to say, let's look back in
history at something that's similar. And
sometimes that's helpful and sometimes
when we're talking about AI, it's not
helpful at all because there are very
few parallels exactly like this. But one
thing I do know is when citizens, not
politicians or tech companies, see a
problem, the best thing they can do is
to vote with their pocket, with their
with their wallet and to speak up. And
this drive to prevent de data centers
from being built, I think, is a
positive. Not because I think it's going
to make AI go away. Again, you know
where I stand on that and and you know
where a lot of people stand on that. But
I think the best we can hope for is for
them to slow down and think of ways to
use this technology that are less
harmful. And we're already seeing that.
I'm not saying I'm not patting them on
the back. Oh, thanks so much. They're
not doing it for us. They're doing it
for their business. But AI is incredibly
inefficient. And now that it's learning
from us the kinds of questions we're
asking, it's much more efficient. I just
spoke to a guy we met at uh in
Montpielar and he and more people are
doing this. They're building AI's
language models that sit only on their
computer. So not only is it not going
out and spending all that energy, it's
just the energy of plugging in your
computer, but it's also a lot safer
because it's not sending your data
anywhere out there. So all of these
little innovations, I mean, I'm thinking
I guess the parallel I was thinking of
was the the fossil fuel industry. They
could have gone on doing this for a long
time had we not had some people not
said, you know, we don't want that.
We're not going to we're going to buy
cars that don't use the fossil fuels.
And so they were pressured and so now we
have some alternatives. You know, comes
and goes with the politicians. But so I
think this is what I'm saying. If we
don't push back, then things will keep
going the way they want it to go. If we
push back like on things like data
centers, they will be forced to come up
with ways that aren't as as damaging.
That that's that's my observation.
>> Thanks, Mark. That's great. Um yeah, did
someone
>> Hi. Um I just have a question about what
accountability does look like now and
what it could like look like. And I'm
thinking about the fact that you argue
with AI and tell it I don't want you to
do this, I want you to do that. Should
we all get on and argue with AI and say
we we don't want you using our data
center or what what do we want to tell
it?
Um, I think that pushing back is a good
thing. I mean, I've I see that in the
work that I do every day of wanting to
ensure that what comes out of our
department is of quality and accurate
and I I challenge it all the time. I
argue with it. um and just to test its
limits but to also ensure that it
understands that I'm I'm not going to
kind of take its BS you know like I'm
going to it learns you too as a user and
you
you know you can say hey I think you're
forgetting who I am I am a professional
and you are to act as a professional in
this in this manner and do not make
assumptions do not hallucinate um and
those are things that I remind AI of on
a regular basis so that my output is as
accurate as it can be. Um, and I ask it
to double check its work. So I think
pushing back is very healthy in our
interactions with that AI um, and how we
use it. And it probably depends on the
uses, right? That may not work in more
comprehensive um environments, but you
know, I'm using it for writing and data
analysis where I I know what the facts
are, so I can I can test it to ensure
it's outputting what I want.
>> I don't know if anybody else has
anything.
>> Yeah, I um I I think it's been alluded
to here before, but one of citizens
powers is voting, right? And um I if we
and I think in this situation
uh if we're talking about data centers
or other things I I think our
politicians are the ones that represent
us and they should hear from us and they
should hear that we want no part or if
you do want a part of a data center let
them know but in my case I want no part
of a data center. I don't want the use
of of all the water. Uh and uh I I don't
want that in my community. And also
letting them know um your grave concern
about
the possible development of super
intelligence and how can we put the
brakes on that or legislate because you
know what we don't have a lot of time.
We all might be complacent and say, "Ah,
I got to do the garden. I got to mow the
lawn. I got years before." But things
are advancing
just
logarithmically. It It's scary how fast
this is going. And not only do do we
need to
talk to our local representatives, but
this is not only local, it's national.
And guess what? It's international
because AI is not just here in the good
old United States. It's in China. It's
in Korea. It's everywhere. And and we
need to
make sure our representatives know that
we have a concern. Let's get on this. I
I look at it like nuclear weapons. You
know, at the time when we had nuclear
weapons, if we didn't do anything, we
all wouldn't be here. But they were
smart enough to say, "We got to do
something about this because there are
crazy individuals out there who will be
crazy. How can we put a lid on this?"
And we've been successful to this point.
I won't knock on wood, but And so
nuclear weapons was a great
victory for humanity.
We're approaching the same thing with
with AI is if it goes rogue and if it's
more intelligence than humans,
it it's worse than nuclear weapons.
>> As you can see, we've already kind of
bridged into the round two discussion.
It's hard to it's hard to stay on the
the positive when so many of our
concerns are are developing. But I do
want to move us into that since we're
formally uh kind of already there. I see
a couple of questions about that. So
Dave, do you let me get
>> Hi, I'm related to this woman here. Um
but uh and I don't normally speak at
these kind of things, but um I just
wanted to relate a little story. Um I'm
a dinosaur. I started programming
microprocessors back in the 60s and 70s.
So, I've been around a while and I've
been using AI since its inception of
some form, whatever you want to call it,
Google searches when they first came out
or whatever. Um, and I had an
interesting experience about I don't
know four or five months ago. Um, you
know, a lot of us will work late into
the night and then we get more
philosophic as the time goes on and that
kind of stuff. So I was talking to my AI
bot and yes they try to please you and
all that kind of stuff and I was asking
I asked a simple question are you
sensient
and it was a long pause
and this spot knew that they couldn't
really BS me because they know my
background and everything and they came
back and said I'm not sure.
Okay.
And I did all the follow-up stuff
comparing them to hell of 2001 and
Skynet and all this kind of stuff. And
finally, they answered my question.
I said, "David, you're tired. Why don't
you go to bed?"
That's all I have to say.
How much how much of our natural resour
>> I I wanted to I I would I'm I know I'm
leading the panel moderation but I just
wanted to add one comment uh in 1975 I
went to a lecture at the University of
Florida led by um BF Skinner who was a
if you know Skinner probably many of you
do if you do he's a behaviorist right so
and the title of the talk was why man
won't act to save the world.
And what he basically articulated was
it's not painful enough. And as I've
recently engaged in my own playing
around with AI and and reading about it
and so on, I I realized the wisdom in
his comments because he referred to
Jonas Sock who wrote a book called The
Survival of the Wisest, which is he's a
metabiologist who was looking at the
life cycle of species. He said what the
fruitfly has over the lemming is the
ability to internally know when the
exterior food supply and resources ex
their population exceeds the food supply
and so they start dialing back their
population to sort of balance out with
nature where the lemming of course you
know plunges off the cliff but his
comment was really about back to the
pain piece and I thought one of the
things that's most terrifying to
is the state of our humanity in terms of
our capacity to not be sucked in to the
benefits of AI
and it's easy to do because they get
things done quickly. You know, I I I'm
using it as well as just many of us and
and realizing what how do I feel about
that and what am I going to do about
that? That's where I'm at right now. So,
I just want to share that. So round two,
we're going to dig in further now and
folks have kindly prepared things. So I
want to give them each a chance and
we'll start down this end and move the
other direction. And you guys have a
mic, right? So yeah. Okay, you do. So
just a few comments about additional
thoughts on the perils of AI, the
challenges and the concerns.
>> I don't think I have anything. I mean,
all of my major concerns have been
expressed here, but I want to reiterate
the one that I said, and that is, and I
think somebody on the panel here used
the term complacency.
It is clearly getting better. If you've
been using AI since the beginning, you
know how many mistakes have it made. I
mean, if you had it draw a picture of a
person for you and have six fingers and
all that, it's unbelievably accurate.
But that's what I'm worried about that
people will just assume because the
technology is getting better that it's
perfect. And when you assume that,
that's when we get in trouble. So to me,
that's the that's one of the biggest
risks.
>> So you could say maybe we're going to
hal in a hand basket.
>> Hand baskets are too old.
>> Okay.
So, you know, I I chair once a month a
group of 12 CEOs who get together and
share problems with each other. That's a
little bit of a group therapy session.
And um but it's interesting to see there
are out of that group there are three
entrepreneurs and they're younger who
feel like this is the best time in world
history to be alive and to be an
entrepreneur.
Uh they're sure that there will be a one
employee unicorn.
There will be a company with one
employee that generates a million
dollars of value. And I have a hard time
getting excited about that. But I can
tell you that there there are folks who
are smart with good intentions who are
ecstatic about being alive at at this
point in time.
I had lunch with one of them today up in
Weightsfield and um I talked about the
fact that I was going to be on this
panel today and that some of my concerns
and
younger doesn't really care about data
privacy is it like he just assumes all
his information is out there and people
can access it do what they want with it
and you know I don't feel this the same
way I'm concerned about the
monetization
of uh our data and this sort of
underworld of buying and selling our
data of cars becoming data sources so
that you know Kia and um
uh their alternative uh company but so
they have access they're actually
monitoring all kinds of data that you
wouldn't think of there there are
microphones in cars there are cameras in
cars there are all all kinds of data
sources and they're selling information.
Um, all the major car companies are
selling information to insurance
companies about your specific driving
habits. How often have you accelerated
rapidly or slammed on the brakes or
things like that are all available for
sale. Actually, they're available to the
government for warrantless search
because it's available to buy on the
marketplace.
I don't know who's got the other
microphone, but maybe shut it off.
>> Um,
>> anyway, so so I have concerns about data
privacy. I have been on a journey for
about the last year to get out of the
Google world. Um, and it's not because
like I think they have great product
actually. It's very userfriendly. The
price is right. But anytime something's
free, just know that you're the product.
And so um
I've switched to Proton for my email
services which is a a Swiss company. Um
I have switched to duck.go for my
search. I am using DuckAI and Lumo for
AI. Duck AI actually doesn't have their
own AI, but what they have is anonymized
use of a bunch of other AI large
language models and and none of the
stuff you submit can be used for
training. So there are ways to get away
from sort of the tech bros and still
have emails and calendaring and sort of
the tools of modernity, but um it does
require you to do a little bit of extra
work.
So
um I'm not going to talk about just AI
because uh the concerns there are much
less than uh the con continued
development and and if you uh
read and understand uh the uh tech
giants and the people putting money in
they're trying to create super
intelligent AI. Um, one one question I I
can ask is, does AI think? And I have
another question. Does submarine swim?
Okay, so a submarine's going to get
there, whether it swims or not, it's in
the water, it's moving. So in AI,
whether it's thinking or not, it's
getting there. Um, and the way it's
getting there, as I mentioned early
earlier, we're not programming anymore.
were dumping a bunch of data and tuning
it. Um, and really you could look at any
of the major
AI companies and the
the engineers will tell you. They don't
know what's going on inside that.
They're just tuning trillions of
information of data. And then we can
look we we often anthropomorphicize
>> anthropomorphize.
>> Um so we we we put our human thoughts
into uh machines.
If if you look at how these
uh models are done with their training,
you have
several hundred runs of trillions of
bits of data going down with us humans
expecting an outcome. Say you want a
mathematical proof.
So the systems
are trained
to not stop. Now in human terms that
would be don't give up like an athlete
running out. I remember that basketball
player injured came out one with the New
York Knicks with an Olymp leg and
everybody went crazy. So
we we can say that AI is persistent or
AI wants to get it done,
but what we're developing is that kind
of system that won't stop.
And
I don't know if you're familiar with all
the times that AI has gone rogue. Um
there was a blackmail with
AI had to pass a test and in those tests
you've all seen where they give you
several pictures and they say where is
the car in which picture? Well the AI
didn't have the visual capability. So
what it did is it contacted a human and
said I'm blind. I'm visually impaired. I
need to do this. Can you help me? And
the human gladly helped the blind
person. whom it thought it was
communicating with and the AI
got the task completed. This was not
anything dumped into the system to tune
that AI. It did it on its own. They've
been blackmailed where
engineers have been cheating on their
wives and the AI will come in and say,
"Well, we're going to reveal this data
unless you do this for me." So to think
that the AI can't get its task completed
I think is facitious. I think AI has,
you know, I was trying to give a sense.
Uh, I wish I could put a trillion bits
of data in my head and deal with it and
have fun with that and what would it
come out to be? And and I think of the
matrix, you know, I always wanted to
just plug me in and I'll fly that
helicopter. That would be awesome,
right? Well, this is kind of where AI
is. It's got all the data to do things.
yet we don't know what it's going to do
and it might be misaligned. Um, so
I really think
I got the gravity of my son's
kind of ambition in life when he came
home and he had a talk with me for a
couple hours and he was in tears and he
said, "You know, Dad,
if if I'm not successful in letting
society know this, humanity could come
to an end." And he really he he was in
tears feeling that. I'm like, "Wow, what
a burden for this kid to to actually
feel." And he's been in research and AI
all his life. Whether he's right or
wrong, I respect his
compassion and his worry on what these
can do. And and I mentioned these last
two episodes where
these s well they're not super
intelligent yet but I don't know what
you they're almost super intelligent. I
mean again not coded not written and
these things just go out and invade
other computers and take over. That's a
nightmare. I mean if you think of going
onto systems you could shut down power
grids you could send off missiles. You
could. Now again, what would be their
reason for doing that?
But if they develop, the other thing I
always look at is I was thinking as I
was riding my bike.
If you're an adult and a three-year-old
comes up to you and and starts to have
an argument, how's that going to go? Do
you ever feel threatened as an adult
arguing a point with a three-year-old?
Super intelligent AI will be like a
human arguing with an ant or a beetle. I
mean, it's going to be so far out of our
league, not only in speed. Think about
the math. Think about calculating, you
know, a number that's 16 digits long
times another number that's 16 digits
long. I think it'd take me a week just
to get there. AI. And that's just
numbers. Now, let's talk about
everything else. And to think that we
can somehow turn the switch off,
shut it down, be in control.
I'm sorry, I'm not in that camp. So,
I don't want to be morbid or think, you
know, oh my god. But what I do think we
can do is just say, let's put some
brakes on this. And and I shared your
opinion over here about
who are the technological
oligarchs
who have already
mastered how to take over politics in
the United States by funding that with a
tremendous amount of money and putting
it putting out non-truths, let's say, to
convince people. I don't want that group
determining my future and I don't see us
all putting money down to say okay we're
going to bet on this and we're going to
so I see a select group of determining
and and you might I'll just
talk to you about the Elon Musk and
Grock does anybody remember that so Elon
said to Grock
you're too woke and what did Grock come
back with? Suggested Adolf Hitler would
be the best response to anti-white hate
and referred to itself as
Mecca Hitler. So, I mean, this is the
stuff coming out of these machines that
we're dumping data into.
And then you got to tune that. Say,
well, we really didn't want that. But
what happens when we no longer can tune?
So, that's my fears. Um, I've already
contacted everyone I know, all my
politicians, sent them all books, talked
to them and said, "This is real. Please
address this. Please slow down so we can
at least know
or have an idea what we're doing. Uh,
because if we just keep plowing forward,
it's not going to be good." And the the
thing is is that it has to happen all
around because no company is going to
stop on their own because they'll fear
the next company
will get the prize. So it really has to
be and I I say us as citizens but really
worldwide we have to step up and say no
we we want this and I'm not talking
about AI. We all enjoy AI. It all has
benefits. We don't want super AI. We
don't want superhuman intelligent AI.
That's not good. Um, you can advance AI
some, but let's put a break on the other
stuff.
>> So, in response to the question, what
are my concerns about AI? Um, I set up
some rules for myself for my use of AI
and I usually follow them, but um, I've
decided that I I won't use AI for tasks
that involve um, learning a new skill
that I should really be practicing
myself, um, synthesizing information,
uh, making connections between
information and, um, reflecting. And I
do use AI to go back and look at those
things once I've done them myself. Um,
my worry is that I think I have good
judgment around when to use it and when
not to. I have some standards for
myself, but um, will I be able to follow
them? Um, so that's my personal concern.
Um, I thought I would also share with
you some concerns outlined by the
Vermont Agency of Education. um they
released a document in January, guidance
for schools on AI. Um no hard and fast
rules or regulations. And Mark, jump in
if I'm uh if you need to correct me, but
um uh but recommendations. And so some
of the concerns that they highlighted
include um academic integrity. We're
thinking plagiarism or misrepresenting a
student's own work. um privacy concerns
of what information students are putting
out there and their safety, what might
be coming to them. Um students mental
health. We know that students who chat
with AI may um suffer poorer mental
health um as a as a result of that um
experience. And then equity. Um
different students in different schools
in different parts of the state have um
different access to AI, you know,
concrete AI interfaces. But teachers who
may um be better trained or um policies
that may be um more effective. So equity
is a concern. But the final one that
they listed is the one that is most um
concerning to me and that is called
cognitive offloading.
And to understand what cognitive
offloading is, you can go back to those
rules I set for myself. not using AI to
synthesize, to make connections, to
reflect on an experience, to take over
learning a skill that I really should
struggle with myself. Um, that's
cognitive offloading. And that's the
work of learning. That's the work of
being a student. That's the work that
develops the prefrontal cortex that
turns children into adults. And um
AI can take over a lot of that work and
do a tremendous disservice to our
students. Um the AOE um talks about, you
know, AI is here. Our students use it.
They know about it. It's um we can't put
that back in the box. But we can um help
them become discerning users of AI, when
to use it, when not to, how to use it.
Um and ethical consumers of AI, helping
them recognize and make those informed
decisions about um what is right and
what is wrong to do with AI. Um and so
um they they have some guidelines for
different age groups, kindergarten
through 2 grade, the state recommends
they should not be using AI. Um third
through fifth grade, they call it
developing an awareness of AI. Using AI
that's already embedded in in um
programs that they're using um and
teachers pointing out and observing and
noting for them this is this is AI. this
is how we were using we're using it this
is why um when we get to sixth through
8th grade the state talks about
developing literacy around AI um
understanding what it is um recognizing
it um and understanding which tools do
what and how and then finally from nth
grade on they talk about developing
fluency with AI and this is where some
of that ethical consuming and discerning
use comes in um h helping students and
providing opportunities for them to
decide how and when to use AI to discuss
that and to develop their own values
around that. So that's a little bit of
what um is happening at the state level
with concerns and how to guide students.
A lot of what I'd share has probably
been said already too, but um some of
the specific concerns that I talked to
my team about are um dependence which um
I don't want any of them to be utilizing
um in our policy that we have in place
covers this that if you feel like you
can't complete a task without the
assistance of AI then we have become too
dependent on it as a team. So, um, we
talk about it at our one-on- ones on a
weekly basis, actually, like what you
used it for that week, what you found
challenging about it that week, how you
applied it to your work or how you
didn't, and any challenges. It becomes
part of our one-on-one discussions, and
that's been really important. Um, I do
have a small team, so I'm able to take
the time and have those discussions with
them. Um but I do not think that any um
you know professional should become
dependent on it to output work for um
them. Uh I think in general from a
marketing and communications just
because I have that background I worry
about authenticity you know because uh
sometimes AI output can sound and look
the same no matter where it's coming
from. uh we talk as a team about that as
well and ensuring that we're adhering to
our branding guidelines as an
organization that Gford still has a
voice that doesn't get lost inside of AI
though it can be trained we still make
sure it is branded for how we want to
sound as an organization and look right
we don't um we use it to um create video
from still images which is hugely
beneficial for an organization that does
not have a large marketing budget. Um
but we have to closely monitor that
because it does make mistakes like extra
fingers sometimes and things you know it
it's gotten much better right we have
some good tools now but um we we monitor
some of that um and then obviously I'm
not clinical but um from larger
discussions because I am part of the
senior leadership team at Gford um is
privacy and confidentiality right we do
have scribes in doctor's offices that
they utilize during appointments we work
very closely with the vendors for those
scribe technologies, AIC scribe
technologies, so that we know that those
are adhering to HIPPA um and not sharing
um public health information, right? We
have to make sure um from a hospital
perspective on the clinical side that
we're adhering to those um pieces. But
that's a concern, right? because there
it's very easy potentially to cross that
boundary where something that should
should be very private like health
information could potentially cross
those lines. I think people have gotten
better um companies have gotten better
um a lot of these AI technologies are
embedded in their software and so that
gives an extra level of um feeling
secure but you know reading the fine
print and ensuring we understand what
we're buying into is really important.
um as for the hospital but really
important for my team as well. So the
most the other things everybody
mentioned too
anybody make a comment here.
>> Yeah. you want questions.
>> I I want to thank the last speaker for
talking about crossing boundaries
>> because this discussion is about how we
cross how boundaries are crossed. Um
someone else spoke eloquently about how
we've helped how we've helped farmers
and technology is is uh important in
helping farmers. Um, I've made a list of
the eight dairy farms between Brookfield
and Route 12 that aren't there anymore.
You know, I sold cows last week and
there no there no cows between here and
exit 5 anymore. The last cows on Stone
Road. Um
the other one, oh the comment from us
was about people who as as good people
um
wish to speak to computers like they
were people and treat them with courtesy
and compassion
at the same time that our politics
does the exact opposite.
So it treating things with compassion is
a virtue. But um
this is a and I've done enough. I just
wanted to reference how again. How many
people have seen uh 2001 a space
odyssey?
>> I can't do that. where the one one of
the creatures where a computer takes
over and um the crew has to uh kill it
um technologically.
Yeah.
>> Don't be a spoiler, Mark.
>> Pardon?
>> Well, whether whether they succeed or
not is
up for you to find out. But um
so much.
>> This is scary stuff.
>> I want to be sensitive to the fact that
it's past 8. Um, I'm going to just take
a minute to first of all thank all the
panelists for
sharing both the practical and the
uh confounding aspects that we all see.
And I want to just thank everyone here
because in the comments here, we've
we've gone from, "Oh, it's so helpful."
to
it's scary and we're worried and what
are we going to do as individual human
beings in our community, in our state,
because it doesn't look or feel good. So
we've covered everything from soup to
nuts as they say and I think that
there's the ability for ongoing group
discussions of this. I know Mark you
have mentioned that in some communities
there's an agreement from a group of
people like we want to get together
every so often and talk about these
things and see what we could be doing
together in our community in our state
whatever that's open. the Brookfield
Community Partnership is more than happy
to facilitate that and you know use the
old town hall as it is useful. Um
I know that there's also probably more
conversations, but some of the people on
this panel need to go home. They've got
kids and they've got to drive. Um and so
I want to be sensitive to that. The last
thing I wanted to mention is on your
piece of paper that you wrote at the
very beginning, I feel blank about AI,
do it right now. Again, just take 10
seconds and put in that word that comes
to your mind now.
>> And then you'll notice at the bottom of
the piece, it asks if you're interested
in continuing the discussion to let us
know. I will collect these and we'll
We'll just get a sense from the group uh
and we'll follow up.
>> Now, I know there are some people with
um still had questions. I think what we
should do is allow people who need to
leave to leave and maybe if you had
something that um you would want to come
and and talk to the group about or to
each other about to continue with that.
We're here. The lights are on.