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The Future of AI. Opportunities and Challenges · Artificial Intelligence Exposed

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  Speaker 1: All right, so ready to go deep. Today we're tackling
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  Speaker 1: the future of AI.
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  Speaker 2: But like, way beyond just the headlines, you.
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  Speaker 1: Know, exactly. We're going past the hype to see what
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  Speaker 1: it all really means.
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  Speaker 2: And our guide for this deep dive excerpts from Texto
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  Speaker 2: Pagado really gets into where AI is headed.
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  Speaker 1: Yep, the real impact, the good, the bad, and everything
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  Speaker 1: in between, so people can get the full picture.
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  Speaker 2: Love that, and Texto Pagado jumps right in saying AI
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  Speaker 2: isn't some far off thing. It's already here, kind of
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  Speaker 2: running in the background of our lives.
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  Speaker 1: Yeah, and it's only going to get more integrated, more intense,
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  Speaker 1: well intense maybe, but the article actually suggests it might
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  Speaker 1: become more subtle, like almost invisible, woven into well, just
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  Speaker 1: everything we do every day, So.
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  Speaker 2: Less like those robot butlers we see in movies and
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  Speaker 2: more like a silent force shaping everything.
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  Speaker 1: You got it. And that brings us to probably the
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  Speaker 1: biggest thing AIS can impact jobs. Texta Pagada talks about
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  Speaker 1: how AI could totally revolutionize industries like manufacturing, logistics. Oh yeah.
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  Speaker 1: The article specific mentions AI taking over some pretty complex
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  Speaker 1: tasks like quality control, even predicting when equipment's going to
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  Speaker 1: fail before it actually does. That's next level efficiency.
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  Speaker 2: Totally, and that's barely scratching the surface. Think about like
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  Speaker 2: AI managing whole supply chains yea, you know, figure out
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  Speaker 2: the best routes, delivery times, all with crazy accuracy, could
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  Speaker 2: change global trade completely.
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  Speaker 1: That does sound super efficient. But what about the people
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  Speaker 1: whose jobs you might get replaced by these AI systems.
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  Speaker 2: It's a real concern, for sure, and the article acknowledges that,
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  Speaker 2: But it also points out that AI is going to
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  Speaker 2: create new jobs too, especially jobs that require, you know,
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  Speaker 2: those uniquely human skills.
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  Speaker 1: Okay, so like what I mean? I can imagine jobs
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  Speaker 1: designing and managing these AI systems, but what else?
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  Speaker 2: Well, think about things that AI just isn't good at yet, creativity,
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  Speaker 2: critical thinking, emotional intelligence, that kind of stuff. So strategic planning,
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  Speaker 2: complex problem solving, jobs that need like deep human interaction,
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  Speaker 2: those aren't going away.
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  Speaker 1: So it's not just about text skills anymore. It's about
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  Speaker 1: adapting and getting really good at those human strengths that
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  Speaker 1: AI can't copy exactly.
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  Speaker 2: TEXTA BIGADO actually suggests we need to like totally rethink
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  Speaker 2: education and training prepare people for a future where humans
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  Speaker 2: and AI work together, each doing what they're best at.
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  Speaker 1: Interesting. So we've got AI quietly getting more powerful, reshaping industries,
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  Speaker 1: changing the skills we need. But where does it get
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  Speaker 1: really interesting? Where are those mind blowing advancements Texta Parato
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  Speaker 1: talks about.
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  Speaker 2: Well, the article gets into some pretty cool stuff beyond
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  Speaker 2: just jobs. Healthcare is a big one. We could see
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  Speaker 2: AI leading to truly personalized medicine. Imagine AI looking at
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  Speaker 2: your genes, lifestyle, even environmental stuff to predict health risks
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  Speaker 2: years ahead of time.
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  Speaker 1: Wow, that's way more advanced than AI just looking at
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  Speaker 1: medical images, which is happening now right Totally.
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  Speaker 2: It's about tailoring treatments to you specifically, not one size
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  Speaker 2: fits all anymore, medicine as unique as you are.
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  Speaker 1: That's incredible. And it's not just health care. Texto Pagado
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  Speaker 1: also mentions AI revolutionizing drug discovery.
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  Speaker 2: Oh yeah, making new drugs now is super slow and expensive,
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  Speaker 2: but AI could analyze mountains of data to find promising
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  Speaker 2: drug candidates, speeding up the process like crazy. We could
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  Speaker 2: see cures for diseases we thought were impurable.
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  Speaker 1: That would be huge. And what about those futuristic things
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  Speaker 1: we hear about all the time, like self driving cars
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  Speaker 1: smart cities. Does Texto Pagado talk about that stuff for sure.
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  Speaker 2: They dive into autonomous vehicles, not just cars though, think trucks, drones,
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  Speaker 2: even hoold transportation systems run by AI. Imagine smooth traffic flow,
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  Speaker 2: no accidents, Your commute becomes time to relax or get
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  Speaker 2: stuff done.
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  Speaker 1: Sounds kind of utopian but also a little scary. What
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  Speaker 1: about safety?
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  Speaker 2: Yeah, the article acknowledges that's a big challenge. These systems
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  Speaker 2: have got to be reliable and secure. We need rigorous testing,
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  Speaker 2: solid regulations, maybe even new ethical frameworks to figure out
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  Speaker 2: how to deal with machines making life or death decisions.
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  Speaker 1: So self driving everything is still a ways off. But
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  Speaker 1: what about smart cities? That feels like it's already happening
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  Speaker 1: in some ways it is.
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  Speaker 2: Texta Bigado describes them as cities that use AI and
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  Speaker 2: data to like optimize resources, make things more efficient, and
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  Speaker 2: just make life better for people.
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  Speaker 1: So AI managing traffic, energy use, even predicting and responding
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  Speaker 1: to emergencies.
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  Speaker 2: Better exactly, and it could make cities more sustainable, cut
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  Speaker 2: down pollution, create a more connected, responsive urban environment. But
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  Speaker 2: you know there are definitely challenges too.
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  Speaker 1: Like what data privacy big one.
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  Speaker 2: The more data these systems collect, the more important is
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  Speaker 2: to protect it and make sure it's not misused.
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  Speaker 1: And what about bias? Could these AI systems, if they're
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  Speaker 1: trained on bias data, make existing inequalities even worse.
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  Speaker 2: That's a crucial point the article brings up. These systems
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  Speaker 2: have got to be fair, equitable benefit everyone.
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  Speaker 1: So it's not just about the tech itself, it's about
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  Speaker 1: the human values that shape it.
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  Speaker 2: Right totally, and that brings us to one of the
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  Speaker 2: most important parts of this whole conversation, downsides of AI.
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  Speaker 2: Texto Pigado doesn't shy away from the risks, and we
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  Speaker 2: need to talk about those too.
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  Speaker 1: All right, let's do it. I'm ready to get into
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  Speaker 1: the dark side of AI. What are some of the
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  Speaker 1: biggest concerns.
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  Speaker 2: So yeah, before we went to that break, we were
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  Speaker 2: starting to talk about those risks, the darker side of AI.
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  Speaker 2: That text Opigado really wants it to think about.
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  Speaker 1: It was getting a bit intense there. The article definitely
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  Speaker 1: doesn't sugarcoat it. You know, AI in the wrong hands
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  Speaker 1: could be a real problem.
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  Speaker 2: No, it's true. One of the biggest worries they bring
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  Speaker 2: up is how AI could be used for like bad stuff,
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  Speaker 2: malicious use. And this isn't just you know, science fiction
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  Speaker 2: is already happening.
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  Speaker 1: Like what kind of things are we talking about. It's
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  Speaker 1: easy to imagine like AI taking over the world, but
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  Speaker 1: what's actually going on right now?
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  Speaker 2: Well, the article specifically mentions like cyber attacks AI powered
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  Speaker 2: ones that are getting super sophisticated. Imagine hackers using AI
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  Speaker 2: to create malware that can, you know, adapt and learn
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  Speaker 2: much harder to stop.
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  Speaker 1: So it's not just a virus you can easily find
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  Speaker 1: and delete. It's more like a constantly changing threat, always
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  Speaker 1: one step ahead, yeah, exactly.
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  Speaker 2: And then there's AI being used for disinformation, like creating
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  Speaker 2: fake news videos, even audio that sounds totally real, all
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  Speaker 2: designed to manipulate people, you know, yeah, or just cause chaos.
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  Speaker 1: It's that whole deep fake thing right where you can't
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  Speaker 1: even trust what you see or hear anymore, AI making
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  Speaker 1: it even harder to know what's true. Kind of scary
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  Speaker 1: it is.
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  Speaker 2: And it gets even worse when you think about AI
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  Speaker 2: creating propaganda, like specifically designed to target certain people, play
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  Speaker 2: on their weaknesses.
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  Speaker 1: Okay, that's pretty messed up. So AI cyber attacks, disinformation.
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  Speaker 1: What else does the article mention as a risk?
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  Speaker 2: They also talk about autonomous weapons systems, so basically drones, missiles,
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  Speaker 2: even like whole armies that can operate on their own
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  Speaker 2: without any humans involved.
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  Speaker 1: Well, hold on, that sounds like something at a terminator.
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  Speaker 1: Are we really talking about AI controlling weapons that can
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  Speaker 1: kill people?
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  Speaker 2: It's a real thing, yeah, and it's being debated right
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  Speaker 2: now by like world leaders and stuff. The article points
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  Speaker 2: out that these systems could be making life or death
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  Speaker 2: decisions without any human input, which raises some big ethical questions.
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  Speaker 1: Yeah, like who's responsible if one of these things malfunctions
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  Speaker 1: and hurts someone? Can you even program a machine to
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  Speaker 1: understand ethics? Especially on a battlefield?
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  Speaker 2: Those are the questions, right, And it's not just about
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  Speaker 2: stopping these weapons from being made. It's about understanding what
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  Speaker 2: could happen and making sure there are rules about how
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  Speaker 2: they're used, ethical guidelines.
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  Speaker 1: So we've talked about the potential for misuse, but texta
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  Speaker 1: Pogatto brings up another big worry which I think comes
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  Speaker 1: up a lot with AI control. As these systems get smarter,
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  Speaker 1: how do we make sure they're still working for us?
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  Speaker 1: You know? Yeah, sticking to human values.
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  Speaker 2: It's a huge question and there aren't any easy answers.
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  Speaker 2: The article says we got to build in safeguards from
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  Speaker 2: the very beginning, make sure those ethical considerations are part
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  Speaker 2: of the design process.
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  Speaker 1: It's not just about making AI smart, it's about making
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  Speaker 1: sure it's good, aligned with what we believe is right
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  Speaker 1: and wrong. How do you even do that?
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  Speaker 2: Though?
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  Speaker 1: Program ethics into a machine It's tricky, but Texto Pigado
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  Speaker 1: has some ideas.
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  Speaker 2: One is to get ethicists and social scientists involved, like
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  Speaker 2: from day one, people who think about the big picture,
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  Speaker 2: not just the tech stuff.
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  Speaker 1: That makes sense. You need people who are thinking about
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  Speaker 1: how this affects society right, not just how to build
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  Speaker 1: the coolest gadget. What else do they say?
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  Speaker 2: Transparency is really important too. We can't have AI systems
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  Speaker 2: be these black boxes where we don't know how they're
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  Speaker 2: making decisions, especially when those decisions affect our lives.
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  Speaker 1: So we need to be able to see how the
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  Speaker 1: algorithm works, understand the logic behind.
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  Speaker 2: It exactly, and that includes being able to audit these systems,
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  Speaker 2: check for bias and stuff like that.
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  Speaker 1: It feels like a lot of this comes down to
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  Speaker 1: trust doesn't it. We have to be able to trust
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  Speaker 1: these AI systems, but that trust has to be earned.
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  Speaker 2: Yeah. I think you're right. And part of that trust
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  Speaker 2: is about the data they use, which brings us to
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  Speaker 2: another big issue that Texopigato talks about. Privacy.
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  Speaker 1: Ah. Yeah, that's the big one, right, always comes up
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  Speaker 1: when you talk about AI. These systems need tons of data,
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  Speaker 1: but that data is often really personal stuff.
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  Speaker 2: Definitely, and the article points out that this creates attention.
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  Speaker 2: We want the benefits of AI, but we also don't
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  Speaker 2: want to live in a world where everything we do
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  Speaker 2: is being tracked and analyzed.
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  Speaker 1: Look a trade off. We want personalized medicine, efficient transportation,
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  Speaker 1: but not at the cost of our privacy.
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  Speaker 2: It's a tough balance. Texto Pegado says, we got to
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  Speaker 2: be really careful about how we collect, store, and use
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  Speaker 2: data in this new age of AI.
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  Speaker 1: Okay, so what are they worried about specifically when it
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  Speaker 1: comes to AI and privacy.
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  Speaker 2: I mean, well, one thing they mentioned is surveillance. AI
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  Speaker 2: powered systems that could erode our privacy in public, like
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  Speaker 2: facial recognition tech being used to track us, identify us,
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  Speaker 2: or even predict what we're going to do.
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  Speaker 1: Yeah. I've seen that in the news. It's a bit creepy,
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  Speaker 1: and it's not just governments doing it, is it. What
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  Speaker 1: about companies using AI to collect data on what we
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  Speaker 1: do online, what we buy, who we talk to.
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  Speaker 2: That's another thing they bring up the article worries that
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  Speaker 2: this data could be used to manipulate us, target us
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  Speaker 2: with ads, influence our choices.
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  Speaker 1: It's like filter bubbles and echo chambers, but on steroids.
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  Speaker 1: We could end up in a world where we're only
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  Speaker 1: ever shown stuff that reinforces what we already believe, right,
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  Speaker 1: no more critical thinking.
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  Speaker 2: Yeah, it's a real concern. That's why Texto Pagado says
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  Speaker 2: we need strong laws to protect our data and the
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  Speaker 2: right to say no to data collection if we want to.
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  Speaker 1: It sounds like we need to be having some serious
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  Speaker 1: conversations about all of this, how to get the good
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  Speaker 1: stuff from AI without giving up our privacy and freedom.
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  Speaker 2: I agree, and those conversations need to include everyone, not
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  Speaker 2: just tech people, but also ethicists, policymakers, regular people.
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  Speaker 1: We've covered a lot, from the awesome potential of AI
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  Speaker 1: to the scary stuff. What does Texto Purgado say about
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  Speaker 1: the future? Where are we headed? And can we do
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  Speaker 1: anything to steer things in the right direction. So we've
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  Speaker 1: talked about how AI could change like everything healthcare, transportation,
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  Speaker 1: but there are those risks too, Misuse control, privacy, feels
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  Speaker 1: like it could go either way, you know, amazing future
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  Speaker 1: or something we regret. What does text of Pagado say
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  Speaker 1: about where all this is going.
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  Speaker 2: Well, they don't exactly have a crystal ball, but the
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  Speaker 2: art going makes it clear that the future of AI
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  Speaker 2: isn't like set in stone. It really depends on what
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  Speaker 2: we do now, the choices we make, the conversations we have.
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  Speaker 1: So it's not just waiting to see what happens. We
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  Speaker 1: can actually shape how this all plays out exactly.
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  Speaker 2: And Texta Pagado specifically says we need to work together
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  Speaker 2: on this international cooperation. They call it. No one country,
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  Speaker 2: no one company can figure this out alone. It's got
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  Speaker 2: to be a global effort.
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  Speaker 1: Makes sense. AI is everywhere, so the solution's got to
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  Speaker 1: be global too, right, But what about those big problems,
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  Speaker 1: like the ones facing the whole planet? Can AI actually
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  Speaker 1: help us with those? Like the article suggests.
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  Speaker 2: They seem to think so, Texta Pagato is, i'd say,
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  Speaker 2: cautiously optimistic about AI's potential, especially when it comes to
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  Speaker 2: things like climate change education.
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  Speaker 1: OK, let's start with climate change. It feels like we're
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  Speaker 1: always hearing about how bad it's going to get, but
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  Speaker 1: not so much about what we can actually do. How
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  Speaker 1: can AI make a difference there?
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  Speaker 2: Well, the article talks about AI helping us mitigate the effects,
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  Speaker 2: you know, and not just with like smart homes and stuff,
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  Speaker 2: but on a much bigger scale. Imagine AI managing energy
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  Speaker 2: grids for entire cities, even countries, making renewable energy more reliable.
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  Speaker 1: That's a huge change, though our whole energy system would
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  Speaker 1: have to be different, but I guess AI could help
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  Speaker 1: us make that transition right right.
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  Speaker 2: And they mentioned other things too, like using AI to
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  Speaker 2: design new materials that are more sustainable, or buildings that
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  Speaker 2: can regulate their own temperature so we don't need so
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  Speaker 2: much energy for heating and cooling.
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  Speaker 1: So basically AI helping us build smarter, greener cities, ones
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  Speaker 1: that can handle climate change better. What about education? How
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  Speaker 1: could AI change how we learn?
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  Speaker 2: Text O Pigado talks about AI making education more personalized,
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  Speaker 2: more effective for both students and teachers. Like imagine AI
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  Speaker 2: tutoring systems that adapt to how each student learns best.
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  Speaker 1: It'd be like having your own personal tutor twenty four
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  Speaker 1: to seven helping you with tough stuff, giving you feedback.
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  Speaker 2: Yeah, exactly. And it's not about replacing teachers. It's about
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  Speaker 2: giving them more time to do what they're good at, mentoring, inspiring,
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  Speaker 2: really connecting with their students.
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  Speaker 1: So AI takes care of the more routine parts of
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  Speaker 1: teaching and the human teachers can focus on the stuff
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  Speaker 1: that really matters.
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  Speaker 2: Right. And the article also talks about using AI to
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  Speaker 2: analyze all that data we have about education, you know,
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  Speaker 2: to figure out how students learn best, what problems they face,
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  Speaker 2: so we can make education better for everyone.
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  Speaker 1: Interesting. So AI could help us understand learning itself and
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  Speaker 1: then use that knowledge to improve things.
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  Speaker 2: Pretty cool it is, and it shows that AI isn't
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  Speaker 2: just about like automating things or replacing us. It's about
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  Speaker 2: making us better at what we do, helping us solve
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  Speaker 2: big problems, making a better future hopefully.
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  Speaker 1: Texto Pagato definitely gives us a lot to think about.
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  Speaker 1: AI could do amazing things, but we got to be
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  Speaker 1: smart about it, make sure we're paying attention to the
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  Speaker 1: risks too.
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  Speaker 2: Absolutely, that's why these conversations are so important. We all
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  Speaker 2: need to be part of shaping the future of AI.
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  Speaker 2: What we do now matters.
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  Speaker 1: Well said, this has been a really thought provoking deep dive.
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  Speaker 1: I hope you our listener, got a lot out of
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  Speaker 1: it too. If you're curious to learn more, definitely check
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  Speaker 1: out Texto Pogata yourself and keep thinking about all this.
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  Speaker 1: You know, it's a conversation that's just getting started.
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  Speaker 2: The future of AI is still being written and we
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  Speaker 2: can all be part of that story.
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  Speaker 1: Thanks for joining us for this deep dive into the
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  Speaker 1: world of AI. We'll see you next time for another
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  Speaker 1: fascinating exploration