Latest / Artificial Intelligence Exposed / The Impact of AI on the Job Market

Transcript

The Impact of AI on the Job Market · Artificial Intelligence Exposed

• 0:00
  Speaker 1: All right, so we're diving into some really fascinating stuff today.
• 0:03
  Speaker 1: AI ethics.
• 0:04
  Speaker 2: Absolutely, it seems like it's everywhere.
• 0:07
  Speaker 1: Yeah, you can't open up a news site these days
• 0:08
  Speaker 1: without seeing AI ethics.
• 0:10
  Speaker 2: And it's not just theoretical anymore.
• 0:12
  Speaker 1: No, it's impact in our really yeah, real lives.
• 0:16
  Speaker 2: Absolutely.
• 0:16
  Speaker 1: So we've been looking at this dive source material called
• 0:21
  Speaker 1: Artificial Intelligence Exposed.
• 0:23
  Speaker 2: Really gets into the good and the bad.
• 0:27
  Speaker 1: Yeah, the opportunities and the risks. Absolutely, the risks and
• 0:30
  Speaker 1: speaking of risks, yeah, let's talk privacy this source material.
• 0:35
  Speaker 2: Well, AI is collecting so much data on us.
• 0:39
  Speaker 1: Yeah, I mean think about it.
• 0:40
  Speaker 2: It's incredible.
• 0:41
  Speaker 1: Your phone, smart speakers.
• 0:44
  Speaker 2: Your car, your everything. Yeah. Our homes are becoming yeah,
• 0:49
  Speaker 2: you know, full of AI devices.
• 0:51
  Speaker 1: So should we just accept all this data collection?
• 0:54
  Speaker 2: Well that's a big question. Yeah, I think so, right,
• 0:56
  Speaker 2: And the answer is not simple. I mean think about this, Okay,
• 1:00
  Speaker 2: all that data can be used for good too. Oh yeah,
• 1:04
  Speaker 2: you know those recommendations intimes.
• 1:05
  Speaker 1: It's freaky that you get. Yeah, it is for everything. Yeah,
• 1:09
  Speaker 1: like how do they know that? Right?
• 1:10
  Speaker 2: That's AI using data? Okay, to personalize your experience makes sense,
• 1:17
  Speaker 2: but it's a slippery slope, right.
• 1:19
  Speaker 1: Because like sometimes I think, are those recommendations really mean? Yes?
• 1:23
  Speaker 2: Like are you being the choice on.
• 1:26
  Speaker 1: A nudged by the algorithm?
• 1:28
  Speaker 2: That's the heart of the paradox, you know, these algorithms. Yeah,
• 1:32
  Speaker 2: they can be so powerful.
• 1:34
  Speaker 1: They really can.
• 1:35
  Speaker 2: That they start shaping our choices without us knowing it,
• 1:38
  Speaker 2: without us realizing it.
• 1:39
  Speaker 1: It's a little unsettling. I gotta say. It is like
• 1:41
  Speaker 1: living in a filter bubble.
• 1:43
  Speaker 2: You're only seeing, You're only exposed to what the AI
• 1:46
  Speaker 2: thinks you.
• 1:47
  Speaker 1: Want, not necessarily need. Okay, what about facial recognition, perfect example.
• 1:53
  Speaker 2: Yeah, it's everywhere, that double edged sword.
• 1:56
  Speaker 1: Yeah it is.
• 1:56
  Speaker 2: On one hand, it can be incredibly useful curity SAE security, Yeah,
• 2:02
  Speaker 2: but the potential for misuse is huge. It's huge.
• 2:06
  Speaker 1: Yeah.
• 2:07
  Speaker 2: Think about a world where your every move is tracked.
• 2:12
  Speaker 1: Just because a camera can recognize.
• 2:14
  Speaker 2: You, just because a camera can recognize you, Yeah, that is.
• 2:17
  Speaker 2: It raises serious questions about our right to privacy, yeah,
• 2:21
  Speaker 2: for sure, and anonymity.
• 2:23
  Speaker 1: So it's not just whether the technology works, it's.
• 2:26
  Speaker 2: About who controls it and how it's used.
• 2:28
  Speaker 1: And now it's used exactly and speaking of control.
• 2:31
  Speaker 2: Okay, good transition. Yeah, let's talk about the future.
• 2:33
  Speaker 1: Of work, right, the future of work?
• 2:36
  Speaker 2: What happens when robots happens?
• 2:38
  Speaker 1: When AI can do our jobs, can do our jobs
• 2:41
  Speaker 1: better and faster. Yeah, this is happening.
• 2:44
  Speaker 2: Yeah, it's not science fiction.
• 2:45
  Speaker 1: This is real.
• 2:46
  Speaker 2: And it's not just factory jobs. No, think about uh.
• 2:50
  Speaker 1: Truck drivers, truck drivers, customer service reps.
• 2:53
  Speaker 2: Even lawyers, some aspects of legal work.
• 2:57
  Speaker 1: It's all being transformed.
• 2:58
  Speaker 2: Yeah, how do we prepare for a world?
• 3:01
  Speaker 1: So?
• 3:01
  Speaker 2: How do we prepare jobs might not exist?
• 3:03
  Speaker 1: Okay? So this source material talks about universal basic income
• 3:08
  Speaker 1: UBI is a possible solution.
• 3:10
  Speaker 2: Fascinating idea.
• 3:12
  Speaker 1: Is it something we should consider?
• 3:13
  Speaker 2: Really complex?
• 3:15
  Speaker 1: It seems like it.
• 3:16
  Speaker 2: Yeah. Some people see it as a safety net. Oh
• 3:19
  Speaker 2: okay when those jobs disappear.
• 3:21
  Speaker 1: Okay, I can see that.
• 3:22
  Speaker 2: You're getting a regular income just for being a citizen,
• 3:25
  Speaker 2: regardless of whether you.
• 3:26
  Speaker 1: Work, regardless of work. Yeah, interesting.
• 3:29
  Speaker 2: But others worry about the cost, okay, and the impact
• 3:33
  Speaker 2: on people's motivation to work.
• 3:35
  Speaker 1: That's a good point. Yeah, So there's two sides to
• 3:38
  Speaker 1: that point.
• 3:38
  Speaker 2: Absolutely, But it seems like that these are the conversations
• 3:41
  Speaker 2: we need to be having.
• 3:42
  Speaker 1: We need to be talking about this time, right, now
• 3:44
  Speaker 1: before it's too.
• 3:45
  Speaker 2: Late, before it's too late.
• 3:46
  Speaker 1: Okay, let's shift gears a bit. This source material talks
• 3:49
  Speaker 1: about the black box problem.
• 3:51
  Speaker 2: The black box?
• 3:53
  Speaker 1: What is that? Yeah?
• 3:54
  Speaker 2: So imagine an AI system making decisions about loans.
• 3:57
  Speaker 1: Okay, loan applications.
• 3:59
  Speaker 2: That happens all the time, and you're denied alone, and
• 4:01
  Speaker 2: you ask why, and they say and the people at
• 4:04
  Speaker 2: the bank say, yeah, we don't know.
• 4:07
  Speaker 1: I don't know.
• 4:07
  Speaker 2: The AI made the decision.
• 4:09
  Speaker 1: The algorithm decided.
• 4:10
  Speaker 2: That's the black box. You can see what goes in
• 4:13
  Speaker 2: and out input output, but the process is a mystery. Okay,
• 4:16
  Speaker 2: so even the creators sometimes don't understand how it works.
• 4:21
  Speaker 1: That's kind of scary.
• 4:23
  Speaker 2: It can be. Yeah, especially when you think about medical diagnoses.
• 4:27
  Speaker 2: Oh yeah, even more or even autonomous weapons.
• 4:30
  Speaker 1: Oh wow.
• 4:31
  Speaker 2: So how can we trust systems to make life or
• 4:35
  Speaker 2: death decisions if.
• 4:36
  Speaker 1: We don't know how they're deciding, if we don't know how. Yeah,
• 4:39
  Speaker 1: that's a huge ethical dilemma. Yeah.
• 4:43
  Speaker 2: Absolutely.
• 4:43
  Speaker 1: What's being done to address.
• 4:45
  Speaker 2: This, Well, there's this field called explainable AI.
• 4:49
  Speaker 1: Explainable AI. So the idea is, too you can see
• 4:52
  Speaker 1: inside the box.
• 4:53
  Speaker 2: Make the algorithms more transparent. Okay, so researchers are developing
• 4:58
  Speaker 2: techniques to show us the fact. So it's about AI
• 5:01
  Speaker 2: is considering the decisions. Yeah, and the logic.
• 5:04
  Speaker 1: It's using to get to a decision.
• 5:06
  Speaker 2: Okay, so we can have more confidence in the decisions exactly. Okay,
• 5:10
  Speaker 2: this is mind blowing stuff.
• 5:11
  Speaker 1: We're just getting started.
• 5:12
  Speaker 2: I'm ready.
• 5:13
  Speaker 1: And this whole issue of control and understanding. Yeah, becomes
• 5:17
  Speaker 1: even more crucial when we think about Okay, AI's potential
• 5:21
  Speaker 1: to manipulate our opinions.
• 5:22
  Speaker 2: Okay, so now you've got my attention. Yeah, what do
• 5:25
  Speaker 2: you mean by manipulation? Well, thank our listeners are wondering
• 5:29
  Speaker 2: that too.
• 5:30
  Speaker 1: Let's talk about that.
• 5:31
  Speaker 2: Yeah.
• 5:31
  Speaker 1: Think about how much time you spend scrolling through social media.
• 5:35
  Speaker 2: Oh, way too much.
• 5:36
  Speaker 1: Those recommended for you posts, Yeah, the videos that AutoPlay,
• 5:40
  Speaker 1: they're all powered by AI algorithms. Oh yeah, designed to
• 5:44
  Speaker 1: keep you engaged. Yeah. And sometimes I'll catch myself I'll
• 5:47
  Speaker 1: be scrolling and scrolling, yeah, and I don't even remember
• 5:50
  Speaker 1: what I was looking for.
• 5:51
  Speaker 2: Yeah, and you realize you haven't even been consciously choosing
• 5:55
  Speaker 2: what to watch.
• 5:56
  Speaker 1: Yeah, it's like on autopilot.
• 5:57
  Speaker 2: That's the power of these algorithms. Wow, it's so good
• 6:00
  Speaker 2: at predicting, scary what will hold our attention that you know,
• 6:04
  Speaker 2: it can be tough. We can end up in what
• 6:06
  Speaker 2: this series calls a filter bubble. Filter bubble only exposed
• 6:11
  Speaker 2: to content that reinforces our existing beliefs.
• 6:15
  Speaker 1: So we're not getting the full picture then, not necessarily,
• 6:18
  Speaker 1: even if it feels like we are right okay, So yeah,
• 6:20
  Speaker 1: what does that mean for.
• 6:22
  Speaker 2: And I think this has pretty big implication.
• 6:25
  Speaker 1: Form our opinions for how we force especially about things
• 6:28
  Speaker 1: like politics. Absolutely okay, So this source material talks about
• 6:32
  Speaker 1: how AI is being used in campaigns.
• 6:35
  Speaker 2: Political campaigns, Yeah, like to target voters, to target voters
• 6:38
  Speaker 2: with personalized messages.
• 6:40
  Speaker 1: It's a little scary, it can be. I mean, I
• 6:42
  Speaker 1: know targeted advertising is nothing new, it's not, but this
• 6:45
  Speaker 1: feels different somehow.
• 6:47
  Speaker 2: It is different. With AI. The targeting can become so precise, okay,
• 6:52
  Speaker 2: so subtle that we don't even know, we might not
• 6:55
  Speaker 2: even realize we're being influenced, influenced, And that is serious
• 7:01
  Speaker 2: questions about the fairness.
• 7:03
  Speaker 1: Of election of election. This is big. It is We're
• 7:06
  Speaker 1: not talking about, you know, getting ads for shoes anymore, not.
• 7:09
  Speaker 2: Just about this is about AI swaying elections.
• 7:13
  Speaker 1: It's about potentially swaying election.
• 7:15
  Speaker 2: I'm playing on our emotions and our biases.
• 7:17
  Speaker 1: By playing on our emotions and.
• 7:19
  Speaker 2: Biases at us even realizing it, that us realizing it.
• 7:22
  Speaker 2: This is crazy.
• 7:23
  Speaker 1: It's a powerful stuff.
• 7:25
  Speaker 2: Okay. So it's not just politics.
• 7:27
  Speaker 1: No, it's not think about the news.
• 7:30
  Speaker 2: The news we consume, the products.
• 7:33
  Speaker 1: We buy, Yeah, the entertainment we choose, pretty much everything.
• 7:37
  Speaker 1: AI is increasingly at the heart.
• 7:39
  Speaker 2: Wow, this rabbit hole is deep of all these decisions.
• 7:43
  Speaker 1: So where do we draw the line?
• 7:44
  Speaker 2: That's the million dollar question. I don't know right, and
• 7:46
  Speaker 2: there are no easy answers, but one thing's clear.
• 7:50
  Speaker 1: Okay.
• 7:50
  Speaker 2: We need to be aware of how AI is.
• 7:52
  Speaker 1: Being used to shape our choices, our world.
• 7:55
  Speaker 2: To shape our world.
• 7:56
  Speaker 1: Okay, I can get behind.
• 7:58
  Speaker 2: We need to be critical thinkers, questioning the information.
• 8:02
  Speaker 1: Not just blindly accepting.
• 8:03
  Speaker 2: Not just blindly accepting.
• 8:05
  Speaker 1: Okay. So it's like we need a new set of skills.
• 8:08
  Speaker 2: Yeah, almost like a.
• 8:09
  Speaker 1: Defense mechanism against.
• 8:10
  Speaker 2: Manipulation, literacy on steroids.
• 8:13
  Speaker 1: We need to be savvy digital citizens. Yeah, not just
• 8:16
  Speaker 1: passive consumers.
• 8:17
  Speaker 2: Okay, I like that. So we've talked about personal lives, our.
• 8:21
  Speaker 1: Jobs, even our political system. But this Artificial Intelligence Exposed
• 8:26
  Speaker 1: series yeah, also goes into it even something even more unsettling,
• 8:31
  Speaker 1: more intense AI in warfare.
• 8:33
  Speaker 2: AI in warfare.
• 8:34
  Speaker 1: So we're talking about development of autonomous weapons systems.
• 8:37
  Speaker 2: Killer robots. This is one of the most controversial. This
• 8:40
  Speaker 2: is like sci fi stuff applications of AI, but it's real.
• 8:43
  Speaker 2: It's not science fiction anymore, So we should be worried
• 8:46
  Speaker 2: about this. These systems are being developed like right now,
• 8:49
  Speaker 2: right now, wow, and tested as we speak.
• 8:52
  Speaker 1: Wow.
• 8:52
  Speaker 2: And they raise some profound ethical questions.
• 8:55
  Speaker 1: Okay, so what are the arguments.
• 8:57
  Speaker 2: Well, proponents argue that autonomous weapons could reduce human casualties.
• 9:04
  Speaker 2: That makes sense, and make warfare more precise.
• 9:07
  Speaker 1: Okay, but what if it makes war more likely?
• 9:10
  Speaker 2: That's one of the biggest fears.
• 9:11
  Speaker 1: If humans aren't making the decisions.
• 9:13
  Speaker 2: Critics worry that autonomous weapons could lead to unintended escalation
• 9:19
  Speaker 2: oh wow, accidental.
• 9:21
  Speaker 1: Killings, accidental killings.
• 9:22
  Speaker 2: Even a loss of human control.
• 9:24
  Speaker 1: So who is accountable?
• 9:25
  Speaker 2: Then that's the question.
• 9:28
  Speaker 1: If a machine makes a mistake.
• 9:30
  Speaker 2: If an autonomous weapon makes a mistake, who's responsible?
• 9:34
  Speaker 1: Who do you blame?
• 9:36
  Speaker 2: Is it the programmer, the manufacturer, the commander, the military command,
• 9:40
  Speaker 2: uncharted territory. It's a very gray area, both legally and ethically.
• 9:45
  Speaker 3: Okay, So accountability and this question of accountability it's not
• 9:48
  Speaker 3: just war though, it extends beyond warfare.
• 9:51
  Speaker 1: Where else are we seeing this?
• 9:52
  Speaker 2: We're seeing AI being used in more and more areas
• 9:56
  Speaker 2: that have huge impacts on people's lives.
• 9:58
  Speaker 1: Give me some examples like criminal justice, criminal justice, okay, healthcarecare, finance.
• 10:05
  Speaker 2: Wow, so you know really important things.
• 10:07
  Speaker 1: AI is deciding someone's prison sentence.
• 10:11
  Speaker 2: Imagine an AI system or their medical diagnosis that helps
• 10:15
  Speaker 2: judges determine sentencing based on an individual's risk of reoffending.
• 10:21
  Speaker 1: Okay, so these are high stakes decisions.
• 10:23
  Speaker 2: Or an AI that analyzes medical images. Yeah, high stakes
• 10:26
  Speaker 2: that makes diagnoses.
• 10:27
  Speaker 1: And we're trusting these algorithms right in that place. We
• 10:30
  Speaker 1: don't even understand how they work. That's the challenge and
• 10:33
  Speaker 1: the potential consequences.
• 10:35
  Speaker 2: Right. It brings us back to explainable AI.
• 10:37
  Speaker 1: So we need to be able to.
• 10:39
  Speaker 2: Making sure these systems are transparent.
• 10:42
  Speaker 1: Understand how they're making these decisions accountable. So explainable AI transparency.
• 10:46
  Speaker 2: We need to be able to understand the lagulations behind
• 10:49
  Speaker 2: their decisions. Effical guidelines especially when those decisions have such
• 10:54
  Speaker 2: a profound impact on people's lives.
• 10:56
  Speaker 1: Okay, I'm with you.
• 10:57
  Speaker 2: We can't just let the technology develop unchecked. We need safeguards, right,
• 11:01
  Speaker 2: We need to be proactive in shaping the future of AI.
• 11:05
  Speaker 1: Make sure it's actually benefiting.
• 11:07
  Speaker 2: Us, to ensure that it benefits humanity, not the other
• 11:10
  Speaker 2: way around. Not the other way around.
• 11:11
  Speaker 1: That's a scary thought, it is. So what can we
• 11:14
  Speaker 1: do well?
• 11:14
  Speaker 2: That's a great question.
• 11:15
  Speaker 1: It feels like such a big issue. It is a
• 11:17
  Speaker 1: big issue as an individual, like what can I do?
• 11:20
  Speaker 2: But that doesn't mean we're powerless?
• 11:22
  Speaker 1: Okay, that's good to hear.
• 11:23
  Speaker 2: One of the most important things is to educate.
• 11:26
  Speaker 1: Ourselves about AI, about AI Okay.
• 11:29
  Speaker 2: It's capabilities and its potential risks.
• 11:32
  Speaker 1: Okay, knowledge is power.
• 11:34
  Speaker 2: The more informed we are, makes sense, the better.
• 11:37
  Speaker 1: Equipped will be to make good choices.
• 11:39
  Speaker 2: To advocate for responsible.
• 11:41
  Speaker 1: Advocate for change, development and use. Okay. So, what else
• 11:45
  Speaker 1: can we do?
• 11:46
  Speaker 2: Well? We can support organizations like what kind of organizations
• 11:49
  Speaker 2: and initiatives that are working to promote.
• 11:53
  Speaker 1: To promote ethical AI AI ethics?
• 11:56
  Speaker 2: Okay, So there are groups advocating for transparent algorithms, data
• 12:01
  Speaker 2: privacy rights, responsible AI development. You know, donate to them,
• 12:06
  Speaker 2: support them, spread the word, even get involved as volunteers.
• 12:10
  Speaker 1: Volunteers.
• 12:11
  Speaker 2: Yeah, I don't make conscious choices as consumers too.
• 12:14
  Speaker 1: Oh yeah, like with our wallets.
• 12:16
  Speaker 2: Support companies that are transparent about their use of AI
• 12:19
  Speaker 2: and do the right thing, prioritizing ethical practices, ethical practices,
• 12:24
  Speaker 2: you know, and if we see something concerning, speak up,
• 12:27
  Speaker 2: speak up right to companies. Don't just be silent, leave reviews,
• 12:31
  Speaker 2: share your concerns on social media. This is all about
• 12:35
  Speaker 2: don't be afraid to use your voice.
• 12:37
  Speaker 1: Taking responsibility.
• 12:38
  Speaker 2: It is about taking responsibility not just as individuals, not
• 12:41
  Speaker 2: just as individuals.
• 12:42
  Speaker 1: But as a society. As a society, we can't just
• 12:45
  Speaker 1: sit back and let this happen.
• 12:46
  Speaker 2: I agree to us. We need to be active participants
• 12:51
  Speaker 2: in shaping the future of AI. Okay, I believe we
• 12:54
  Speaker 2: can create a future. I like that optimism where AI
• 12:57
  Speaker 2: is used to enhance our lives. Yeah, solve some of
• 13:02
  Speaker 2: the world's most pressing problems.
• 13:04
  Speaker 1: Yeah, the potential is there.
• 13:06
  Speaker 2: Without sacrificing our values or our humanity or our humanity.
• 13:10
  Speaker 1: That's important.
• 13:11
  Speaker 2: It is so where do we go from here?
• 13:13
  Speaker 1: I think the key takeaway for all this.
• 13:15
  Speaker 2: What should our listeners remember is.
• 13:17
  Speaker 1: We need to be having these conversations, talk about it.
• 13:20
  Speaker 1: We need to be asking the tough questions. Don't be
• 13:22
  Speaker 1: afraid to challenging assumptions. Yeah, demanding transparency and accountability.
• 13:27
  Speaker 2: Transparency and accountability from those.
• 13:29
  Speaker 1: Who are developing and using AI.
• 13:31
  Speaker 2: I feel like we've just scratched the surface with his
• 13:34
  Speaker 2: deep dive, and that's the point.
• 13:35
  Speaker 1: Yeah, this is just the beginning, the beginning of a
• 13:37
  Speaker 1: much larger conversation.
• 13:39
  Speaker 2: Of a much larger conversation about AI, about AI and
• 13:42
  Speaker 2: its role in our world.
• 13:43
  Speaker 1: Okay, So to our listeners out there, Yeah, we.
• 13:46
  Speaker 2: Want to know what you think, what questions, What questions
• 13:49
  Speaker 2: came up for you, concerns during this deep dive? Came
• 13:52
  Speaker 2: up for you during this deep dive?
• 13:54
  Speaker 1: What are your biggest concerns about AI?
• 13:57
  Speaker 2: What role?
• 13:58
  Speaker 1: What role do you want to play in shaping the future?
• 14:03
  Speaker 1: Do you want to play of AI? Ah? Yeah, it's
• 14:07
  Speaker 1: easy to feel a little overwhelmed by all this AI, algorithms, ethics,
• 14:11
  Speaker 1: it's a lot.
• 14:13
  Speaker 2: It can feel like we're just along for the ride. Yeah,
• 14:16
  Speaker 2: but we're not.
• 14:17
  Speaker 1: But what I'm hearing from you, we actually have more
• 14:19
  Speaker 1: power because we have more power than we think than
• 14:21
  Speaker 1: we might think. Okay. So it's not just about being informed, right,
• 14:24
  Speaker 1: it's about doing something.
• 14:25
  Speaker 2: It's about taking action.
• 14:27
  Speaker 1: Okay, So what can we do?
• 14:29
  Speaker 2: So what are some concrete steps to make sure AI
• 14:32
  Speaker 2: is used ethically?
• 14:34
  Speaker 1: Respond? Yeah.
• 14:35
  Speaker 2: One powerful step is to support the organizations Okay. What
• 14:39
  Speaker 2: kind of organizations that are on the front lines of
• 14:42
  Speaker 2: AI ethics?
• 14:43
  Speaker 1: Okay.
• 14:44
  Speaker 2: There are groups working on things like developing ethical guidelines okay,
• 14:49
  Speaker 2: for AI development, advocating for data.
• 14:52
  Speaker 1: Privacy rights, data privacy, yeah.
• 14:54
  Speaker 2: Pushing for more transparency.
• 14:55
  Speaker 1: Okay. So transparency is a big.
• 14:57
  Speaker 2: One in algorithms.
• 14:58
  Speaker 1: And how do we support them?
• 14:59
  Speaker 2: They need our support Okay, whether it's through donations.
• 15:02
  Speaker 1: Donations, volunteering, spreading the word about their work.
• 15:05
  Speaker 2: Okay, so get the word out. Okay. So it sounds
• 15:08
  Speaker 2: like we need to be smart consumers tooly Like with
• 15:11
  Speaker 2: our everyday purchases.
• 15:12
  Speaker 1: We have a lot of power as consumers.
• 15:15
  Speaker 2: Yeah, if we're concerned about how a company is using AI,
• 15:19
  Speaker 2: and if we're concerned, maybe we shouldn't shop.
• 15:21
  Speaker 1: There about how a company is using AI. Yeah, we
• 15:25
  Speaker 1: should reconsider.
• 15:26
  Speaker 2: Take our business elsewhere, supporting that a company that's doing it, Right, we.
• 15:30
  Speaker 1: Can choose to buy Okay, I like.
• 15:32
  Speaker 2: That from companies that are transparent about their AI practices
• 15:37
  Speaker 2: and committed to ethical development development. So every time we
• 15:41
  Speaker 2: make a purchase, it's vote. We're casting a vote for
• 15:45
  Speaker 2: the world we want, for the kind of world we
• 15:46
  Speaker 2: want to live in.
• 15:47
  Speaker 1: Okay, that's a powerful thought.
• 15:48
  Speaker 2: And if we see something that feels wrong, you know,
• 15:51
  Speaker 2: if we encounter an AI system that seems biased, like
• 15:55
  Speaker 2: gone fair or unfair, we shouldn't be afraid to speak up.
• 15:59
  Speaker 1: So use our voices.
• 16:00
  Speaker 2: We can write to companies, leave reviews, but be silent,
• 16:04
  Speaker 2: share our concerns on social media. You know, we can
• 16:07
  Speaker 2: use our voices.
• 16:08
  Speaker 1: Hold companies accountable, to hold them accountable. Okay, that's important. Yeah,
• 16:13
  Speaker 1: So this isn't about being anti AI.
• 16:15
  Speaker 2: It's not about being anti AI. AI has the potential.
• 16:19
  Speaker 1: There's so much potential.
• 16:20
  Speaker 3: To do so much good in the world, from solving
• 16:24
  Speaker 3: complex problems to improving healthcare, creating new forms of art
• 16:30
  Speaker 3: and expression.
• 16:30
  Speaker 1: So this deep dive it wasn't about saying, it.
• 16:33
  Speaker 2: Wasn't about demonizing AI. AI is bad, right, It was
• 16:38
  Speaker 2: about highlighting it's the importance of being thoughtful and deliberate.
• 16:44
  Speaker 1: Using AI thoughtfully.
• 16:45
  Speaker 2: About how we develop and use this powerful technology, powerful stuff,
• 16:50
  Speaker 2: making sure it serves humanity, not the other way around,
• 16:53
  Speaker 2: not the other way around.
• 16:54
  Speaker 1: And that's a responsibility we all share.
• 16:56
  Speaker 2: It is.
• 16:56
  Speaker 1: It's not just on you know, it's not just on
• 16:59
  Speaker 1: the shoulders of tech companies, tech companies or governments.
• 17:03
  Speaker 2: It's our governments.
• 17:03
  Speaker 1: It's all of us.
• 17:04
  Speaker 2: It's on all of us to be informed, engaged, to
• 17:08
  Speaker 2: make our voices.
• 17:09
  Speaker 1: Heard, and to make our voices heard.
• 17:11
  Speaker 2: The future of AI, the future.
• 17:13
  Speaker 1: Of AI is being written right now.
• 17:15
  Speaker 2: It is being written right now.
• 17:16
  Speaker 1: And we all have a role to play.
• 17:18
  Speaker 2: And we all have a role to play.
• 17:19
  Speaker 1: In shaping that future.
• 17:21
  Speaker 2: So to our listeners, thanks for joining us on this
• 17:24
  Speaker 2: deep dive into AI ethics.
• 17:26
  Speaker 1: It's been a pleasure.
• 17:27
  Speaker 2: We hope it's you know, sparked some questions, Yeah, maybe
• 17:30
  Speaker 2: even inspired you to take some action. Absolutely, keep exploring
• 17:33
  Speaker 2: this stuff, keep learning, keep learning, keep asking those tough questions.
• 17:38
  Speaker 1: The choices we make today.
• 17:39
  Speaker 2: Because the choices we make today.
• 17:41
  Speaker 1: Will determine the kind of world we create tomorrow.
• 17:43
  Speaker 2: Determine the kind of world we create tomorrow.
• 17:46
  Speaker 1: Where AI can be a force for good, a.
• 17:48
  Speaker 2: World where AI can be a force for good, enhancing
• 17:51
  Speaker 2: our lives, enhancing our lives.
• 17:53
  Speaker 1: Helping us build a better future.
• 17:55
  Speaker 2: And helping us build a better future for everyone, for everyone.
• 17:59
  Speaker 1: That's a great note to end. Done it is, thanks
• 18:01
  Speaker 1: for listening.