Latest / A New Angle / Part one: Crissie McMullan & Jason Wiener are AI Realists
Transcript
- 0:00[music]
- 0:07SPEAKER_02: This is A New Angle, conversations about how we're doing and where we're going.
- 0:13SPEAKER_02: I'm your host, Justin Angle.
- 0:15SPEAKER_02: This show is supported by the Headwaters Foundation,
- 0:18SPEAKER_02: First Security Bank, and the University of Montana College of Business.
- 0:22[music]
- 0:30SPEAKER_02: Hey, folks, welcome back, and thanks for tuning in.
- 0:32SPEAKER_02: Today, I'm speaking with Chrissy McMullin and Jason Weiner.
- 0:35SPEAKER_02: Together,
- 0:36SPEAKER_02: these two launched AI Realists,
- 0:38SPEAKER_02: a nonprofit organization aimed at helping communities shape AI policies.
- 0:43SPEAKER_03: Like that sense of,
- 0:45SPEAKER_03: you know,
- 0:45SPEAKER_03: like I say AI, you have some nightmare that comes to mind and then that's it.
- 0:51SPEAKER_03: I just got to let that thought go.
- 0:52SPEAKER_03: I can't even sit with that thought in my head.
- 0:55SPEAKER_02: AI Realist is producing events and conducting outreach across Montana.
- 0:59SPEAKER_02: Chrissy, Jason, thanks for joining me.
- 1:01SPEAKER_01: Thanks for having us.
- 1:03SPEAKER_02: Pleasure to be here.
- 1:03SPEAKER_02: Yeah.
- 1:04SPEAKER_02: So tell us, where did you grow up and what did your parents do?
- 1:06SPEAKER_02: Chrissy, let's start with you.
- 1:08SPEAKER_01: I grew up in rural Mississippi.
- 1:10SPEAKER_01: Okay.
- 1:10SPEAKER_01: My dad worked for the poultry industry, as in chickens.
- 1:14SPEAKER_01: Yes.
- 1:15SPEAKER_01: And my mom was a med tech in the local hospital.
- 1:18SPEAKER_03: Jason, you.
- 1:19SPEAKER_03: I grew up in Concord, New Hampshire.
- 1:20SPEAKER_02: That's right.
- 1:21SPEAKER_03: Just a short drive down the road from me.
- 1:23SPEAKER_03: Yeah.
- 1:24SPEAKER_03: And my dad worked in a supermarket and my mom worked in a medical practice.
- 1:30SPEAKER_02: Christy,
- 1:30SPEAKER_02: before we get into AI Realist,
- 1:32SPEAKER_02: just tell us first, how did you get from Mississippi to Montana?
- 1:36SPEAKER_02: But by way of describing that journey, give us a little career summary.
- 1:41SPEAKER_01: Sure.
- 1:42SPEAKER_01: I came to Montana for the Environmental Studies graduate program here in 2002.
- 1:49SPEAKER_01: And right away,
- 1:50SPEAKER_01: I decided the main focus of my studies was figuring out a way to stay in Missoula.
- 1:57SPEAKER_01: It was just really such a vibrant place with interesting people doing cool things.
- 2:03SPEAKER_01: I loved Montana.
- 2:04SPEAKER_01: I loved the mountains, love the rivers.
- 2:06SPEAKER_01: So I spent the first half of my career working on food systems and sustainable agriculture.
- 2:12SPEAKER_01: And then the second 10 years or so, I worked on social services.
- 2:18SPEAKER_01: So I was the executive director of Mountain Home Montana for a long time.
- 2:22SPEAKER_01: And then...
- 2:23SPEAKER_01: I ended up working most recently for a national organization that uses technology
- 2:29SPEAKER_01: to make it easier to apply for SNAP benefits, which is food stamps.
- 2:34SPEAKER_01: And that was my entry into AI and how cool AI could be because we had
- 2:39SPEAKER_01: a really amazing AI project that created a chatbot to help people apply
- 2:45SPEAKER_01: for food stamps.
- 2:46SPEAKER_01: And then also then it introduced me to, hmm, I could see a lot of downsides here.
- 2:51SPEAKER_01: And I started learning more,
- 2:54SPEAKER_01: reading more,
- 2:54SPEAKER_01: taking classes,
- 2:55SPEAKER_01: really trying to understand the kind of benefits as well as
- 2:59SPEAKER_01: the potential consequences and downsides of this kind of wild new technology.
- 3:03SPEAKER_02: So Jason, you've done a lot of stuff.
- 3:07SPEAKER_02: We've interacted along the way in several capacities.
- 3:10SPEAKER_02: You've taught for us.
- 3:11SPEAKER_02: You've been a student here.
- 3:13SPEAKER_02: You've been a city council member.
- 3:16SPEAKER_02: Yeah.
- 3:17SPEAKER_02: Give us your career summary.
- 3:19SPEAKER_03: I came to Missoula for a graduate degree in philosophy.
- 3:23SPEAKER_03: And I'd done a little bit of work in finance before that, but it wasn't really my jam.
- 3:27SPEAKER_03: And so I came out here and I just sort of powered through that degree,
- 3:31SPEAKER_03: taught English and really enjoyed it,
- 3:34SPEAKER_03: but figured I'd leave Missoula and I never really got a chance to leave.
- 3:38SPEAKER_03: Right.
- 3:38SPEAKER_03: So I got a job at the independent right after I finished my degree.
- 3:42SPEAKER_03: And I worked for a couple of years there doing arts and culture stuff and During
- 3:47SPEAKER_03: that time,
- 3:48SPEAKER_03: I observed the city council in action,
- 3:50SPEAKER_03: which led me to going to a meeting, which led me to concluding I could do that job.
- 3:55SPEAKER_03: And so as one does, you just get in the arena.
- 4:00SPEAKER_03: And so I did a campaign and got on the council and started working on
- 4:06SPEAKER_03: the governance side of things.
- 4:07SPEAKER_03: And then I kind of got into politics,
- 4:10SPEAKER_03: like other people's campaigns,
- 4:12SPEAKER_03: because in politics, you get to decide who your coworkers are every couple of years.
- 4:16SPEAKER_03: I was looking for some changes on that front.
- 4:18SPEAKER_03: And I've always been interested in technology.
- 4:20SPEAKER_03: So along the way, I founded my own IT company and that's how I make my living is IT consulting.
- 4:26SPEAKER_02: And I would assume your entry into the AI world was just natural.
- 4:29SPEAKER_02: It was just sort of this next thing that you were adopting or getting interested in
- 4:34SPEAKER_02: or excited about from a very early time.
- 4:36SPEAKER_03: Yeah, I took a little bit of a sabbatical after getting done with city council.
- 4:41SPEAKER_03: And during that time,
- 4:41SPEAKER_03: one of the books I read was Super Intelligence by Nick Bostrom,
- 4:45SPEAKER_03: who is a sort of philosopher of technology and culture.
- 4:48SPEAKER_03: And, you know, that was really my entryway.
- 4:50SPEAKER_03: I ended up doing a master's in science and business analytics here at the university.
- 4:55SPEAKER_03: And then I've just been following the trends and applying this stuff where I can
- 5:01SPEAKER_03: and wondering what it's going to mean for the future.
- 5:04SPEAKER_02: So Chrissy,
- 5:04SPEAKER_02: you mentioned your work with EmRelief,
- 5:06SPEAKER_02: starting to use technology to help create better access
- 5:11SPEAKER_02: to people seeking SNAP benefits.
- 5:14SPEAKER_02: At what point did AI start to enter your consciousness?
- 5:18SPEAKER_02: And then at what point did you start to get concerned about some of the implications?
- 5:23SPEAKER_01: Yeah.
- 5:24SPEAKER_01: So, I mean,
- 5:24SPEAKER_01: it was a fairly straightforward progression for ImRelief because they were trying
- 5:30SPEAKER_01: to use the best possible technologies to help people
- 5:33SPEAKER_01: and AI was becoming more accessible and just made sense to try it.
- 5:39SPEAKER_01: And we actually got a grant from Google.
- 5:42SPEAKER_01: Okay.
- 5:43SPEAKER_01: To build out an AI chatbot specifically to help people apply for food stamps or SNAP benefits.
- 5:51SPEAKER_01: So actually Google flew our team out to their campus.
- 5:56SPEAKER_01: We got to work with Google engineers.
- 5:58SPEAKER_01: We got to collaborate with a whole bunch of amazing other people.
- 6:03SPEAKER_01: Nonprofits at the international level who are working on really amazing AI for good projects.
- 6:11SPEAKER_01: And it was actually there that I also started to get concerned.
- 6:15SPEAKER_01: Ironically,
- 6:16SPEAKER_01: even though this is kind of a big like pep rally for all the ways
- 6:20SPEAKER_01: that we could use AI to save the world.
- 6:23SPEAKER_01: One of the first icebreaker questions at the Google headquarters in Sunnyvale was,
- 6:28SPEAKER_01: I think the question was something like,
- 6:30SPEAKER_01: Do you believe that AI will ultimately benefit humanity or harm humanity?
- 6:39SPEAKER_01: And it was just an icebreaker because you literally had to kind of like stand up
- 6:42SPEAKER_01: and walk around the room to the side of the extreme of that question
- 6:47SPEAKER_01: that you found yourself.
- 6:48SPEAKER_02: You voted by walking, basically?
- 6:50SPEAKER_01: Yeah, you voted by walking.
- 6:51SPEAKER_01: And I noticed like almost no one went to the end of the room that was like,
- 6:55SPEAKER_01: AI is only going to better humanity.
- 6:58SPEAKER_01: People were strongly in the middle to the things are going to be worse for humanity.
- 7:04SPEAKER_01: And again,
- 7:04SPEAKER_01: this is a room full of people who are either creating the technology themselves
- 7:09SPEAKER_01: or they're people who are using it for really the best possible purposes.
- 7:13SPEAKER_01: So if you're going to find a group of optimists about AI,
- 7:15SPEAKER_01: I would have thought it would have been in that room.
- 7:17SPEAKER_01: Yeah, you would think.
- 7:18SPEAKER_01: Yeah, but it wasn't.
- 7:19SPEAKER_01: And so I was like, hmm, I need to really start learning more about what could go wrong.
- 7:26SPEAKER_01: And then I started learning about how the chatbots are.
- 7:29SPEAKER_01: Actually, they taught us at Google how kind of impenetrable the technology is.
- 7:34SPEAKER_02: Yeah, what do you mean by impenetrable?
- 7:37SPEAKER_01: The people who are creating it don't fully understand how it works.
- 7:42SPEAKER_02: Yeah, that is a concern.
- 7:44SPEAKER_01: Yeah, exactly.
- 7:45SPEAKER_01: Especially because the technology is doing more than just what we tell it to do.
- 7:50SPEAKER_01: We're asking it to make decisions for a lot of us.
- 7:53SPEAKER_01: For a lot of cases, we're asking it to do things on its own.
- 7:57SPEAKER_01: And if we don't understand how or why it's doing things on its own, that can create problems.
- 8:03SPEAKER_02: Yeah, that sort of surfaces all kinds of philosophical questions.
- 8:08SPEAKER_02: Jason,
- 8:09SPEAKER_02: sounds like maybe some concerns or at least some dose of skepticism was in the mix
- 8:14SPEAKER_02: from the start.
- 8:15SPEAKER_02: Is that correct?
- 8:16SPEAKER_03: Yeah.
- 8:17SPEAKER_03: I've been an observer of the political economy of the world for as long
- 8:22SPEAKER_03: as I've been aware of its existence.
- 8:24SPEAKER_03: And I think it's safe to say that many people have some misgivings about the way
- 8:29SPEAKER_03: that the technology works.
- 8:31SPEAKER_03: So I worry about it at that level and I think it has the potential
- 8:33SPEAKER_03: to be very disruptive economically as well.
- 8:35SPEAKER_03: There's big unknowns about how this is going to impact
- 8:57SPEAKER_03: People's way of life, their mental health.
- 9:01SPEAKER_03: This is a very powerful technology.
- 9:03SPEAKER_03: Language is sort of humanity's master key to the world.
- 9:08SPEAKER_03: It's the way that we have propagated our culture and evolved so much over time.
- 9:11SPEAKER_03: And we have essentially created things that have digested all of the language.
- 9:16SPEAKER_03: And we're empowering them to use that on us and on our environment.
- 9:21SPEAKER_02: So you mentioned, you used the word step change a moment ago.
- 9:25SPEAKER_02: Do you view this as an incremental change or is this something more discontinuous
- 9:29SPEAKER_02: as far as its implications?
- 9:32SPEAKER_03: I think about this like a concrete example of I would say where it's maybe more
- 9:37SPEAKER_03: than just an incremental change is that in politics over the last 20 years,
- 9:42SPEAKER_03: we've really moved into micro targeting of people where you use like little bits
- 9:46SPEAKER_03: of information that you know about
- 9:50SPEAKER_03: And
- 9:53SPEAKER_02: just to be clear,
- 9:54SPEAKER_02: little bits of information largely derived from digital footprints
- 9:58SPEAKER_02: that we all leave throughout our Google searches,
- 10:00SPEAKER_02: our use of social media, et cetera.
- 10:03SPEAKER_02: Though we've clicked yes on the terms of service,
- 10:06SPEAKER_02: we've not arguably consciously given our consent for this type of surveillance.
- 10:11SPEAKER_03: It's every little bit,
- 10:12SPEAKER_03: including how long you spend on the terms of service is a data point, right?
- 10:16SPEAKER_03: This technology makes it possible to not just go from this person is
- 10:20SPEAKER_03: in this category and so this message might be more effective to This is
- 10:26SPEAKER_03: a message that's perfect for this person.
- 10:28SPEAKER_03: That seems to me to be, like I say, it's a step change.
- 10:31SPEAKER_03: It's like maybe not a discontinuity.
- 10:34SPEAKER_03: We're not talking about everything changing all at once,
- 10:36SPEAKER_03: but it's like a much more powerful way to interact with people.
- 10:42SPEAKER_02: Christy, describe the moment where you decided you wanted to do something about this.
- 10:47SPEAKER_01: So as with many things in life,
- 10:52SPEAKER_01: I was kind of woken up by my daughter.
- 10:55SPEAKER_01: So we were on family vacation heading to Mexico and actually we had a layover
- 11:01SPEAKER_01: in Dallas and we passed a billboard that had something about AI on it.
- 11:06SPEAKER_01: I don't even remember what the billboard said,
- 11:07SPEAKER_01: but Rasa asked some question about AI because she's heard me talk about it
- 11:10SPEAKER_01: and she's heard me, you know, mulling various ideas and...
- 11:15SPEAKER_01: She just said something and I just in a moment of kind of exasperation,
- 11:20SPEAKER_01: I was like,
- 11:20SPEAKER_01: well, you know, it could cure cancer, but then it will turn us all into paperclips.
- 11:25SPEAKER_01: Mm-hmm.
- 11:26SPEAKER_01: And I thought it was funny.
- 11:27SPEAKER_01: Classic paperclip problem.
- 11:28SPEAKER_01: And I was just like, ha ha.
- 11:30SPEAKER_01: And she did not laugh.
- 11:32SPEAKER_01: She looked at me with honestly disgust.
- 11:35SPEAKER_01: She was just like, you are an adult.
- 11:39SPEAKER_01: You should do something about this.
- 11:42SPEAKER_01: And I just couldn't say that she was wrong.
- 11:45SPEAKER_01: You know, I just had to say, OK.
- 11:48SPEAKER_01: I kind of fumbled around in that moment being like, well, I just don't.
- 11:52SPEAKER_01: I'm an adult, but I don't know what to do.
- 11:54SPEAKER_01: Yeah, yeah.
- 11:56SPEAKER_01: And eventually I kept thinking about it and I was like, actually, this is kind of the problem.
- 12:01SPEAKER_01: I don't know what to do.
- 12:03SPEAKER_01: And I actually have been thinking about this for a while and I have a career
- 12:07SPEAKER_01: in social change and nonprofit leadership.
- 12:10SPEAKER_01: And yet I'm kind of feeling stuck and feeling like this is not for me to weigh in on.
- 12:17SPEAKER_01: And I finally was like, wait a minute, I think that's the problem.
- 12:20SPEAKER_01: I think the issue is that so many
- 12:22SPEAKER_01: of us are concerned We see how this could go very wrong for us as individuals,
- 12:29SPEAKER_01: for our society, for our species even.
- 12:32SPEAKER_01: And yet we just are kind of frozen.
- 12:34SPEAKER_01: And we have to change that.
- 12:36SPEAKER_01: We have to get into action.
- 12:37SPEAKER_01: And we have taken action on really big, hard issues before.
- 12:41SPEAKER_01: And we can do it again.
- 12:42SPEAKER_01: If we want to have a future for ourselves,
- 12:45SPEAKER_01: for our kids, for our loved ones, we have to start getting active.
- 12:49SPEAKER_02: What are some examples of those big problems where we've taken successful action?
- 12:54SPEAKER_02: Because I think that is,
- 12:55SPEAKER_02: you described the problem very elegantly in the sense that we feel helpless.
- 12:59SPEAKER_02: We feel like this thing is happening to us.
- 13:01SPEAKER_02: We're all walking to the side of the room that expresses our concern,
- 13:06SPEAKER_02: even if we're close to it and thinking about it.
- 13:08SPEAKER_02: What are examples we can hold onto of areas where we've broken that stalemate?
- 13:13SPEAKER_01: Yeah.
- 13:15SPEAKER_01: It's maybe not as existential of a problem,
- 13:17SPEAKER_01: but certainly a widespread global issue that seemed intractable was big tobacco.
- 13:24SPEAKER_01: People smoked.
- 13:25SPEAKER_01: That was the norm.
- 13:26SPEAKER_01: People smoked on airplanes.
- 13:27SPEAKER_01: People smoked on school buses and the teacher's lounge.
- 13:31SPEAKER_01: It was just super common for people to smoke.
- 13:34SPEAKER_01: People knew that it was killing them.
- 13:36SPEAKER_01: The information was out there, and yet it just seemed like big tobacco was too big.
- 13:42SPEAKER_01: Too hard to fight.
- 13:44SPEAKER_01: They had too much money.
- 13:45SPEAKER_01: They had too much power in Washington, D.C. We just weren't going to be able to do anything.
- 13:49SPEAKER_01: And through a number of different really smart choices by a number
- 13:55SPEAKER_01: of different types of publicists.
- 13:57SPEAKER_01: We'll be back to my conversation with Chrissy McMullin and Jason Weiner after this short break.
- 14:28SPEAKER_02: A New Angle would not be possible without the generous support of
- 14:31SPEAKER_02: the Headwaters Foundation,
- 14:33SPEAKER_02: working side by side with Western Montanans to improve the health
- 14:36SPEAKER_02: of our communities.
- 14:38SPEAKER_02: And you can't do that sort of work without access to capital and education.
- 14:42SPEAKER_02: Two critical catalysts offered by First Security Bank and the University
- 14:46SPEAKER_02: of Montana College of Business.
- 14:49SPEAKER_00: Hi, this is Kelly Webster,
- 14:50SPEAKER_00: Chief of Staff at the University of Montana, and you're listening to A New Angle.
- 14:59SPEAKER_02: Welcome back to New Angle.
- 15:00SPEAKER_02: I'm speaking with Chrissy McMullin and Jason Weiner about AI realists.
- 15:05SPEAKER_02: Jason, how did you two come to work together on this AI realists initiative?
- 15:09SPEAKER_03: We both encountered a book called Moral Ambition by Rutger Bregman,
- 15:14SPEAKER_03: who's a historian who's written a number of books.
- 15:16SPEAKER_03: And part of what they do is sort of like offer curriculum.
- 15:22SPEAKER_03: And so we convened a group of eight people around that and just talked through this.
- 15:26SPEAKER_02: Well, what is this thing?
- 15:27SPEAKER_02: We're talking about AI Realist, the organization that you've recently launched.
- 15:31SPEAKER_02: What is it and what problem are you trying to solve?
- 15:34SPEAKER_01: Yeah, so we're definitely in startup mode.
- 15:36SPEAKER_01: Actually,
- 15:36SPEAKER_01: Jason said really well,
- 15:38SPEAKER_01: the problem we're trying to solve is the spell of inevitability.
- 15:42SPEAKER_01: Just that it does seem like we're kind of stuck in this sense
- 15:47SPEAKER_01: that this technology is just coming at us and there's nothing we can do.
- 15:50SPEAKER_01: So I think that's the number one problem we want to solve.
- 15:54SPEAKER_01: I think some of the tactics that we think are going to be the most impactful and
- 15:59SPEAKER_01: the ways that we have the most leverage will be state level policy change.
- 16:04SPEAKER_01: A lot of states are taking really strong actions around AI laws
- 16:09SPEAKER_01: and creating new legislation And I think this is Montana is
- 16:13SPEAKER_01: a really still accessible state.
- 16:15SPEAKER_01: I know we have a lot of polarization,
- 16:16SPEAKER_01: but it's still actually a place where we can get something done.
- 16:19SPEAKER_01: So state level policy change.
- 16:21SPEAKER_01: Then we also really are interested in experimenting with Improving democracy
- 16:28SPEAKER_01: as best we can also because what we know for sure is that we're at the tip of
- 16:34SPEAKER_01: the iceberg with AI.
- 16:36SPEAKER_01: We're going to need to have the best possible governance.
- 16:40SPEAKER_01: I don't think we can just in the 2027 Montana legislative session jump in there
- 16:45SPEAKER_01: and solve all the issues and do all the legislation we need.
- 16:48SPEAKER_01: We're going to have to have ongoing really smart, timely, thoughtful decision making.
- 16:53SPEAKER_03: Just as we have these algorithms that can drive us to engage through whatever sort
- 17:00SPEAKER_03: of base instincts we have,
- 17:02SPEAKER_03: these processes of language can also help us to achieve other ends if we set them to
- 17:07SPEAKER_03: that.
- 17:08SPEAKER_03: A subset of this larger point that we're making about the way AI is going
- 17:12SPEAKER_03: to work out,
- 17:13SPEAKER_03: that we have choices and intentionality,
- 17:16SPEAKER_03: a piece of that is how is it going to impact democracy?
- 17:18SPEAKER_03: Is this going to be everybody getting whatever news just feeds their confirmation bias?
- 17:23SPEAKER_03: Or is there a constructive way to find out what people value in a relatively compact way?
- 17:30SPEAKER_03: To expose them to what other people believe and find areas
- 17:34SPEAKER_03: where we can collectively govern ourselves better.
- 17:37SPEAKER_03: And so something that moves faster than the government that we've had and
- 17:42SPEAKER_03: that takes advantage of the ways that we've mathematized language
- 17:46SPEAKER_03: and developed algorithms to Why is starting at the state and local level
- 17:50SPEAKER_03: the right move at this time?
- 18:08SPEAKER_01: A few reasons.
- 18:09SPEAKER_01: First, it is the place where I think we just have the most leverage and access.
- 18:16SPEAKER_01: As individual citizens.
- 18:17SPEAKER_01: As individual citizens, yeah.
- 18:20SPEAKER_01: And second, we're seeing that the federal government is fairly often locked in stalemate.
- 18:25SPEAKER_01: And so on a lot of issues, people are turning to states to set the new standards.
- 18:31SPEAKER_01: Yeah.
- 18:31SPEAKER_01: And also,
- 18:32SPEAKER_01: even in places where it's questionable as to whether the state has
- 18:36SPEAKER_01: the best jurisdiction or whether the state can really make the most influence,
- 18:43SPEAKER_01: there's still message sending that we can do from our state.
- 18:47SPEAKER_01: So when Montana is creating laws around what we do or don't want chatbots to do
- 18:55SPEAKER_01: with our children,
- 18:57SPEAKER_01: we can We're not only creating laws,
- 18:59SPEAKER_01: but we're also sending a strong message,
- 19:02SPEAKER_01: especially when we're seeing other states create similar policies and laws.
- 19:06SPEAKER_01: And it makes big tech say, okay, we've got to respond to this.
- 19:10SPEAKER_01: We're hearing what the people want.
- 19:11SPEAKER_02: Yeah, big tech, I mean,
- 19:12SPEAKER_02: it would appear to be trying to obstruct regulation by saying,
- 19:18SPEAKER_02: no, we need this at the federal level.
- 19:19SPEAKER_02: That doesn't seem completely...
- 19:23SPEAKER_02: I mean, it's easy to say that's disingenuous,
- 19:25SPEAKER_02: meaning you referenced the inefficacy of the Feds a few moments ago,
- 19:29SPEAKER_02: but we see what's playing out in New York State right now,
- 19:33SPEAKER_02: and their Democratic primary is attracting a ton of money from tech firms trying
- 19:40SPEAKER_02: to...
- 19:42SPEAKER_02: Slow down candidates that are pro New York State regulation for AI.
- 19:47SPEAKER_02: And you would think that having 50 different policies could be a real challenge
- 19:51SPEAKER_02: for these firms as well.
- 19:52SPEAKER_02: And that's a reasonable concern.
- 19:54SPEAKER_02: But yeah,
- 19:55SPEAKER_02: I can see the logic of trying to get things done at the state level,
- 19:59SPEAKER_02: particularly here in a state like Montana.
- 20:00SPEAKER_02: I mean, we've got pretty good access to our elected officials.
- 20:04SPEAKER_02: So you would think if it's possible anywhere, it's possible here.
- 20:07SPEAKER_03: I don't think that we believe that the state legislature can do everything
- 20:10SPEAKER_03: that needs to be done about this.
- 20:12SPEAKER_03: And there's definitely a role for the federal government to play in all of this.
- 20:17SPEAKER_03: There are some issues, I think, that are just very well suited to state action.
- 20:21SPEAKER_03: So things like product liability laws and things like that are really creatures of the state.
- 20:27SPEAKER_03: And so when we talk about what legal status an AI agent should have and
- 20:34SPEAKER_03: who ultimately bears responsibility for what an agent does on the internet,
- 20:39SPEAKER_03: those are things that we can establish at the state level and
- 20:42SPEAKER_03: that other states have established.
- 20:44SPEAKER_02: That does seem to heighten this sense of inevitability
- 20:48SPEAKER_02: that this is – I mean sometimes it's said that like we're hurtling toward a future
- 20:53SPEAKER_02: that nobody wants save for five billionaires.
- 20:56SPEAKER_02: That's like a pithy way to frame it but – It also seems like it fits.
- 21:02SPEAKER_02: Who actually, I mean,
- 21:03SPEAKER_02: this future with existential risk,
- 21:05SPEAKER_02: and if you look at the stock valuations,
- 21:09SPEAKER_02: I can see no other implication than the just elimination of like two-thirds of
- 21:14SPEAKER_02: the jobs that currently exist.
- 21:17SPEAKER_02: That wouldn't appear to be a future that many people want,
- 21:19SPEAKER_02: as evidenced by the walking pole we opened with.
- 21:22SPEAKER_02: What you're up to is an effort to break this sense of inevitability.
- 21:26SPEAKER_02: Is this a feature or a bug, this sense of inevitability?
- 21:30SPEAKER_02: I can't quite get my head around where this comes from and if it's by design.
- 21:35SPEAKER_03: I think quietism is exactly the desired result.
- 21:40SPEAKER_02: Okay, define quietism.
- 21:41SPEAKER_03: I just got to dial it back and stay in my silo and why should I get myself riled up about this?
- 21:48SPEAKER_03: Because there's nothing I can do anyway.
- 21:49SPEAKER_02: It's too big.
- 21:50SPEAKER_03: Yeah, right.
- 21:51SPEAKER_03: Like that sense of, you know, like I say, AI, you have some nightmare that comes to mind.
- 21:57SPEAKER_03: And then that's, that's it.
- 21:59SPEAKER_03: I just got to let that thought go.
- 22:00SPEAKER_03: I can't even sit with that thought in my head instead of,
- 22:04SPEAKER_03: well, maybe here's something that could be done to mitigate the risk of that.
- 22:08SPEAKER_03: I mean, that seems like.
- 22:09SPEAKER_03: The way that citizens in a democracy should react to their perception about where
- 22:15SPEAKER_03: the future is heading.
- 22:16SPEAKER_03: And so, you know, this is a challenge that we just need to step up to.
- 22:22SPEAKER_03: And the first thing doesn't have to be a fully fleshed out legislative strategy.
- 22:26SPEAKER_03: You can really just say, I want this one thing.
- 22:29SPEAKER_03: I want my children not to be experimented on by tech companies.
- 22:33SPEAKER_02: Chrissy, are there specific areas where y'all are trying to get started?
- 22:37SPEAKER_02: Or at what stage of trying to set priorities are you?
- 22:42SPEAKER_01: Yeah, I mean,
- 22:42SPEAKER_01: we're definitely still listening and trying to gather ideas and learn where
- 22:48SPEAKER_01: the most kind of traction and energy is in the state of Montana.
- 22:52SPEAKER_01: And that's part of the poll that we have on our website.
- 22:55SPEAKER_01: So there's ways for people to give their input about what's most important to them
- 23:00SPEAKER_01: or what they're We're trying to talk to people through community events.
- 23:04SPEAKER_01: So again, trying to understand where are people having the most concern?
- 23:07SPEAKER_01: Where do they want to get involved?
- 23:18SPEAKER_01: And two places that we've seen,
- 23:20SPEAKER_01: you know,
- 23:20SPEAKER_01: where we've just both started kind of trying to dig into the research on
- 23:23SPEAKER_01: that are likely hot spots for Montana or good traction spots
- 23:28SPEAKER_01: for Montana are around kids, protecting kids from manipulation.
- 23:32SPEAKER_01: No chatbots for kids or a different sort of design?
- 23:54SPEAKER_01: It could go on either end of that spectrum,
- 23:57SPEAKER_01: but if children are allowed to use chatbots,
- 24:03SPEAKER_01: those chatbots need to be designed for specific purposes and they need
- 24:07SPEAKER_01: to not be allowed to convince that child that it is a friend,
- 24:12SPEAKER_01: that it has compassion for it,
- 24:14SPEAKER_01: that it cares about it,
- 24:15SPEAKER_01: that it has human emotions for it,
- 24:17SPEAKER_01: because even if a child is Yeah, I'm not sure adults are capable of this anymore.
- 24:34SPEAKER_01: And we've already seen young people have really some really terrible situations
- 24:38SPEAKER_01: because of that type of relationship with the chatbot.
- 24:49SPEAKER_01: I think that's a strong place.
- 24:50SPEAKER_01: I think that's a bipartisan issue.
- 24:52SPEAKER_01: We all want to protect our children.
- 24:56SPEAKER_01: And another important issue that I think will have bipartisan interest and traction
- 25:01SPEAKER_01: in Montana is surveillance.
- 25:04SPEAKER_01: We all want to protect our privacy.
- 25:06SPEAKER_01: We all are concerned about government overreach or corporate overreach.
- 25:10SPEAKER_01: And we don't want to be able to be surveilled 24-7,
- 25:16SPEAKER_01: kind of like in the classic sci-fi nightmare scenario,
- 25:20SPEAKER_01: which is now actually possible because of AI.
- 25:23SPEAKER_03: Yeah, it's tempting with this technology to just think like,
- 25:26SPEAKER_03: what's going to happen in the future, right?
- 25:28SPEAKER_03: Will it take all our jobs or something like that?
- 25:31SPEAKER_03: Part of what's compelling about this moment is the current capabilities that are there.
- 25:36SPEAKER_03: So I talked a little bit about that ability to just generate text.
- 25:39SPEAKER_03: But the other thing that these platforms are great
- 25:42SPEAKER_03: at doing is processing massive amounts of information from sensors and...
- 25:48SPEAKER_03: And it really is getting to the point that with enough computing power,
- 25:56SPEAKER_03: and if you don't really care too much about false positives,
- 25:59SPEAKER_03: like you could watch everybody all the time.
- 26:01SPEAKER_03: And that is not why people in Montana live here.
- 26:04SPEAKER_02: Jason, having served in government and studied philosophy,
- 26:09SPEAKER_02: what's your threshold for deciding if it's appropriate for government intervention
- 26:17SPEAKER_02: in a market essentially?
- 26:18SPEAKER_02: Why is government the right solution here?
- 26:22SPEAKER_02: Are we currently in a market failure?
- 26:26SPEAKER_02: How are you thinking about the need for regulation and what justifies it?
- 26:30SPEAKER_03: We're certainly not talking about your Econ 101 perfect competition,
- 26:35SPEAKER_03: no marginal profit kind of- Yeah,
- 26:37SPEAKER_02: and these two-sided markets too where the revenue model is not necessarily attached
- 26:42SPEAKER_02: to the users.
- 26:43SPEAKER_02: Experience.
- 26:44SPEAKER_02: That's kind of a different thing.
- 26:45SPEAKER_02: We see that with social media and so many different types of tech plays.
- 26:49SPEAKER_03: We are not monolithic,
- 26:51SPEAKER_03: so we often go back and forth,
- 26:52SPEAKER_03: particularly on the issue of protecting children,
- 26:54SPEAKER_03: just like know your customer kind of laws can be invasive in terms of privacy.
- 27:01SPEAKER_03: But we know nothing about this kind of interaction right now.
- 27:03SPEAKER_03: These companies do anonymized analysis of their user base all the time, right?
- 27:09SPEAKER_03: They could be required to simply disclose,
- 27:11SPEAKER_03: like, what do you know about the age profile of your customer?
- 27:14SPEAKER_03: What are the typical characteristics of a conversation?
- 27:17SPEAKER_03: And you might see some striking differences between somebody
- 27:20SPEAKER_03: in their 40s who's like, what do I do with this stuff that's in the fridge?
- 27:23SPEAKER_03: Yeah.
- 27:24SPEAKER_03: Like, you know, what should I do with my life?
- 27:26SPEAKER_03: I don't have any friends.
- 27:27SPEAKER_03: Yeah, exactly.
- 27:28SPEAKER_03: Right.
- 27:29SPEAKER_03: And that might be striking.
- 27:30SPEAKER_03: So some transparency there is not something in the market is going to provide to us.
- 27:34SPEAKER_03: And it is something that I think that we need in order to understand these effects.
- 27:38SPEAKER_03: So that would be one thing.
- 27:40SPEAKER_03: And then I think there's things that the government just needs to do when
- 27:42SPEAKER_03: a new industry comes online,
- 27:44SPEAKER_03: like define how product liability works in it to come back to that one.
- 27:49SPEAKER_03: Right.
- 27:49SPEAKER_03: And like, who's responsible for what my agents do
- 27:53SPEAKER_02: on the Internet?
- 27:55SPEAKER_02: That's all the time we have for this episode.
- 27:57SPEAKER_02: Stay tuned for part two of my conversation with Chrissy and Jason next week.
- 28:02SPEAKER_02: Thanks for listening to A New Angle.
- 28:04SPEAKER_02: If you like what we do and want to support us directly,
- 28:06SPEAKER_02: please consider a subscription at anewanglepodcast.com.
- 28:12SPEAKER_02: A New Angle is recorded at Studio 49, a generous gift from UM alums Michelle and Lauren Hanson.
- 28:19SPEAKER_02: Our presenting sponsor is the Headwaters Foundation,
- 28:21SPEAKER_02: working side-by-side with Western Montanans to improve the health
- 28:25SPEAKER_02: of our communities.
- 28:27SPEAKER_02: We are also supported by First Security Bank and the University of Montana College
- 28:32SPEAKER_02: of Business, with additional help from CED, Drum Coffee, and Montana Public Radio.
- 28:39SPEAKER_02: Keely Larson is our producer.
- 28:41SPEAKER_02: John Brownell, Jeff Ament, and John Wicks made our music.
- 28:45SPEAKER_02: Thanks a lot, and we'll see you next time.