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The Impact of AI on Job Automation · Artificial Intelligence Exposed

• 0:00
  Speaker 1: Hey everyone, and welcome back for another deep dive. Today
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  Speaker 1: we'll be talking all about AI and job automation.
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  Speaker 2: Oh yeah, this is a big one.
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  Speaker 1: It really is, and it's something that I think is
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  Speaker 1: on a lot of people's minds these days.
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  Speaker 2: Yeah, for sure. I mean it seems like every day
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  Speaker 2: there's a new headline about how AI is going to
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  Speaker 2: revolutionize this industry or that industry, or you know, how
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  Speaker 2: it's going to take over all our.
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  Speaker 1: Jobs, right exactly. And it's easy to get caught up
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  Speaker 1: and all the hype and the fear monitoring. But I
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  Speaker 1: think it's important to take a step back and really
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  Speaker 1: try to understand what's actually going on here.
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  Speaker 2: Absolutely. You know, I think one of the biggest misconceptions
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  Speaker 2: about AI is that it's this sort of magical technology
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  Speaker 2: that's going to solve all our problems or you know,
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  Speaker 2: create some kind of dystopian future where robots.
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  Speaker 1: Rule the world, right, like in the movies.
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  Speaker 2: Yeah, exactly, like in the movies, But the reality is
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  Speaker 2: much more nuanced and complex. You know, AI is a tool,
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  Speaker 2: and like any tool, it can be used for good
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  Speaker 2: or for bad.
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  Speaker 1: Okay, so let's maybe break this down a bit. Can
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  Speaker 1: you give us a sort of working definition AI.
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  Speaker 2: Sure. So in a nutshell, well, AI or artificial intelligence,
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  Speaker 2: is the ability of a computer or a machine to
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  Speaker 2: perform tasks that would normally require human intelligence, such as learning,
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  Speaker 2: problem solving, decision making, and even things like creativity.
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  Speaker 1: Okay, so it's not just about robots.
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  Speaker 2: No, not at all. You know, AI is already all
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  Speaker 2: around us. You know, it's in our smartphones, it's in
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  Speaker 2: our cars, it's in the algorithms that recommend products to
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  Speaker 2: us online. And you know, it's even being used in
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  Speaker 2: healthcare to diagnose diseases and develop new treatments.
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  Speaker 1: Wow. So it sounds like AI is already having a
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  Speaker 1: pretty big impact on our lives.
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  Speaker 2: It is, and that impact is only going to grow
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  Speaker 2: in the years to come. You know, some experts believe
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  Speaker 2: that AI is going to be as transformative as the
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  Speaker 2: Industrial revolution.
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  Speaker 1: So that's a pretty bold statement. What are some of
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  Speaker 1: the ways that AI is expected to change the world
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  Speaker 1: in the coming years.
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  Speaker 2: Well, one of the biggest areas of impact is going
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  Speaker 2: to be on the job market. You know, as AI
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  Speaker 2: systems become more sophisticated, they're going to be able to
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  Speaker 2: automate more and more tasks that are currently done by humans.
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  Speaker 1: So that's where the whole fear of job displacement.
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  Speaker 2: Comes in, right exactly. You know a lot of people
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  Speaker 2: are worried that AI is going to lead to mass unemployment,
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  Speaker 2: but I think it's important to remember that technology has
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  Speaker 2: always disrupted the job market. You know, the invention of
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  Speaker 2: the automobile led to the decline of the horse drawn
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  Speaker 2: carriage industry, but it also created new jobs in the
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  Speaker 2: automotive industry.
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  Speaker 1: So are you saying that AI is going to create
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  Speaker 1: new jobs as well as destroy old ones?
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  Speaker 2: Absolutely? You know, in fact, many experts believe that AI
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  Speaker 2: is going to create more jobs than it destroys. But
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  Speaker 2: those jobs are going to require different skills than the
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  Speaker 2: jobs of today.
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  Speaker 1: So what kind of skills are we going to need
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  Speaker 1: to thrive in an AI driven world.
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  Speaker 2: Well, for one thing, we're going to need to be
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  Speaker 2: comfortable working with technology. You know, everyone is going to
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  Speaker 2: need to have at least a basic understanding of how
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  Speaker 2: AI works and how to use it. But more importantly,
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  Speaker 2: we're going to need to develop those skills that are
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  Speaker 2: uniquely human, the things that machines can't do, such as creativity,
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  Speaker 2: critical thinking, problem solving, and emotional intelligence.
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  Speaker 1: Okay, so it's not just about learning how to code,
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  Speaker 1: it's about developing those soft skills that make us human exactly.
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  Speaker 2: You know, the jobs of the future are going to
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  Speaker 2: require a combination of technical skills and human skills.
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  Speaker 1: So how do we prepare for this future of work?
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  Speaker 1: You know, what can we do to make sure that
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  Speaker 1: we're not left behind?
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  Speaker 2: Well, the most important thing is to be adaptable and
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  Speaker 2: to embrace lifelong learning. You know, the world is changing
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  Speaker 2: faster than ever before, and we need to be willing
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  Speaker 2: to constantly learn and grow and develop new skills.
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  Speaker 1: Okay, so be adaptable and embrace lifelong learning.
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  Speaker 2: Anything else, well, I think it's also important to focus
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  Speaker 2: on those skills that are going to be in high
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  Speaker 2: demand in the future, you know, things like data analysis,
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  Speaker 2: machine learning, cybersecurity, and artificial intelligence itself.
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  Speaker 1: So those are the technical skills, yes.
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  Speaker 2: But it's also important to remember that not everyone needs
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  Speaker 2: to be adiga scientist or a software engineer. You know,
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  Speaker 2: there's going to be a growing need for people who
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  Speaker 2: can bridge the gap between technology and humans. You know,
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  Speaker 2: people who can communicate effectively about AI, who can explain
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  Speaker 2: complex concepts in simple terms, and who can help us
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  Speaker 2: understand the ethical implications of this technology.
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  Speaker 1: That makes sense. So it sounds like there's going to
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  Speaker 1: be a role for everyone in the AI driven future,
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  Speaker 1: whether you're a tech quiz or not.
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  Speaker 2: I think so, and I think it's an exciting time
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  Speaker 2: to be alive. You know, we're on the cusp of
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  Speaker 2: a new era of technological innovation and there's so much
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  Speaker 2: potential for good. You know, AI has the potential to
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  Speaker 2: solve some of the world's biggest problems, such as poverty, hunger,
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  Speaker 2: and disease, but it's up to us to make sure
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  Speaker 2: that we use it wisely.
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  Speaker 1: That's a great point, and it's something we're going to
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  Speaker 1: be exploring in more detail and the next part of
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  Speaker 1: our deep dive, Yes.
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  Speaker 2: We'll be taking a closer look at how AI is
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  Speaker 2: being used in different industries, and we'll be discussing some
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  Speaker 2: of the challenges and opportunities that lie ahead.
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  Speaker 1: So stay tuned. We'll be right back after the break.
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  Speaker 2: I'm really interested to get into the specifics of how
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  Speaker 2: this is going to shake.
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  Speaker 1: Out me too. You know, we've talked a lot about
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  Speaker 1: the big picture, but I think it's helpful to ground
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  Speaker 1: this conversation and some real world examples.
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  Speaker 2: Yeah, absolutely, so let's dive into some of those examples
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  Speaker 2: after the break.
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  Speaker 1: Sounds good seeing if you.
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  Speaker 2: So, where do you want to start?
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  Speaker 1: Well, I think a good place to start might be
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  Speaker 1: with finance. You know, it's an industry that's already been
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  Speaker 1: pretty heavily impacted by technology, and I think it's one
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  Speaker 1: where we're likely to see even more disruption from AI
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  Speaker 1: in the years to come.
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  Speaker 2: Yeah, for sure. I mean, finance is all about data, right,
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  Speaker 2: and AI is really good at processing and analyzing large
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  Speaker 2: amounts of data, so it's a natural fit.
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  Speaker 1: So what are some of the ways that AI is
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  Speaker 1: being used in finance right now?
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  Speaker 2: Well, one of the most common applications is in fraud detection.
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  Speaker 2: You know, AI algorithms can be trained to identify patterns
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  Speaker 2: of behavior that are indicative of fraud, so they can
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  Speaker 2: flag suspicious transactions for human review.
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  Speaker 1: That makes sense. So it's like having an extra set
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  Speaker 1: of eyes watching over all.
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  Speaker 2: The transactions exactly, and it's much more efficient than having
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  Speaker 2: humans try to do it all manually. You know, AI
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  Speaker 2: can process millions of transactions in a matter of seconds,
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  Speaker 2: so it can really help to improve security and reduce losses.
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  Speaker 1: So that's fraud detection. What else?
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  Speaker 2: Another big area is in algorithmic trading. You know, this
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  Speaker 2: is where AI systems are actually making investment decisions on
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  Speaker 2: their own based on their analysis of market data.
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  Speaker 1: Oh wow, So these algorithms are like robot stock traders.
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  Speaker 2: Yeah, kind of. You know, they're using complex mathematical models
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  Speaker 2: to try to predict how the market is going to move,
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  Speaker 2: and then they're buying and selling stocks accordingly.
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  Speaker 1: So it's like the ultimate form of quantitative.
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  Speaker 2: Investing exactly, and it can be very effective. You know,
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  Speaker 2: some of the most successful hedge funds in the world
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  Speaker 2: are using AI powered trading systems.
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  Speaker 1: But isn't there a risk that these algorithms could go rogue?
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  Speaker 1: You know, like what if they start making bad decisions
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  Speaker 1: and cause of market crash.
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  Speaker 2: That's definitely a concern. You know, it's important to have
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  Speaker 2: safeguards in place to make sure that these systems are
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  Speaker 2: operating as intended. But I think it's also important to
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  Speaker 2: remember that humans make bad decisions too. You know, we've
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  Speaker 2: seen plenty of market crashes that were caused by human error.
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  Speaker 1: That's true. Okay, So we've talked about fraud detection and
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  Speaker 1: algorithmic trading. What are some of the other ways that
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  Speaker 1: AI is being used in finance.
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  Speaker 2: Well, AI is also being used in things like risk assess,
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  Speaker 2: customer service, and loan underwriting. You know, it can really
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  Speaker 2: help to automate a lot of the tasks that are
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  Speaker 2: currently done by humans, which can free up those humans
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  Speaker 2: to focus on more strategic work.
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  Speaker 1: Okay, so it sounds like AI is already having a
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  Speaker 1: pretty significant impact on the finance industry.
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  Speaker 2: It is, and that impact is only going to grow
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  Speaker 2: in the years to come. You know, as AI systems
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  Speaker 2: become more sophisticated, they're going to be able to take
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  Speaker 2: on even more complex tasks, and they're going to become
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  Speaker 2: even more integrated into the fabric of the financial system.
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  Speaker 1: Okay, so finance is definitely one to watch. Yeah, what
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  Speaker 1: about some other industries. How is AI being used in retail?
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  Speaker 1: For example?
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  Speaker 2: Oh, retail is another big one. You know, AI is
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  Speaker 2: being used in everything from personalized recommendations, to inventory management
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  Speaker 2: to customer service.
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  Speaker 1: So like when I'm shopping online and I see those
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  Speaker 1: recommendations for products that I might like, that's AI at
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  Speaker 1: work exactly.
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  Speaker 2: You know, those recommendations are based on your past browsing
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  Speaker 2: and purchase history. So AI is being used to try
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  Speaker 2: to predict what you're most likely to be interested in
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  Speaker 2: and to show you those products, and.
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  Speaker 1: That can be helpful. Yea. Sometimes it's like those algorithms
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  Speaker 1: know me better than I know.
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  Speaker 2: Myself, right, But it can also be a little creepy,
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  Speaker 2: you know, it's like those algorithms are watching my every move.
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  Speaker 1: It is a little bit big brotherish, isn't it.
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  Speaker 2: Yeah, But it's also just the reality of the world
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  Speaker 2: we live in now. You know, our data is being
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  Speaker 2: collected and analyzed all the time, whether we like it
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  Speaker 2: or not.
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  Speaker 1: Okay, so personalized recommendations. What else?
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  Speaker 2: Another big area is in inventory management. You know, AI
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  Speaker 2: can be used to track inventory levels in real time
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  Speaker 2: and to predict future demand, so retailers can make sure
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  Speaker 2: that they have the right products in stock at the
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  Speaker 2: right time.
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  Speaker 1: That makes sense. So it can help to reduce waste
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  Speaker 1: and improve efficiency.
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  Speaker 2: Exactly, and it can also help to improve the customer experience.
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  Speaker 2: You know, nobody wants to go to a store and
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  Speaker 2: find out that the product they're looking for is out
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  Speaker 2: of stock.
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  Speaker 1: Right, so AI can help to make sure that doesn't.
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  Speaker 2: Happen, exactly, And it can also be used to personalize
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  Speaker 2: the shopping experience in other ways. You know. For example,
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  Speaker 2: some retailers are using AI powered chatbots to provide customer service.
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  Speaker 1: Oh yeah, I've seen those. You know, those little pop
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  Speaker 1: up windows that ask if you need help.
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  Speaker 2: Yeah, so those are often powered by AI. You know,
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  Speaker 2: they can answer basic questions about products and services, and
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  Speaker 2: they can even help you to place an order.
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  Speaker 1: That's pretty cool. So it's like having a virtual assistant.
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  Speaker 2: Exactly, and it can be a really convenient way to
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  Speaker 2: get help, especially if you're shopping online late at night
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  Speaker 2: or on the weekend.
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  Speaker 1: Okay, so AI is being used in a lot of
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  Speaker 1: different ways in retail. What about healthcare? Is AI having
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  Speaker 1: an impact there as well?
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  Speaker 2: Oh yeah, healthcare is another industry that's being transformed by AI.
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  Speaker 2: You know, it's being used in everything from drug discovery
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  Speaker 2: to medical diagnosis to patient care.
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  Speaker 1: Wow. That's pretty amazing. Can you give me some specific examples.
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  Speaker 2: Sure. So one example is in medical imaging. You know,
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  Speaker 2: AI algorithms can be trained to analyze medical images such
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  Speaker 2: as X rays and CT scans, and they can actually
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  Speaker 2: identify patterns that human doctors might miss.
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  Speaker 1: Wow. So it's like having a second opinion from a.
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  Speaker 2: Computer exactly, and it can be really helpful in catch
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  Speaker 2: things early on, you know, when treatment is most effective.
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  Speaker 1: So it can actually save lives.
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  Speaker 2: Yeah, it potentially could. You know, there's a lot of
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  Speaker 2: excitement about the potential for AI and healthcare.
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  Speaker 1: That's incredible. What else?
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  Speaker 2: AI is also being used to develop new drugs. You know,
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  Speaker 2: it can analyze huge amounts of data to identify potential
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  Speaker 2: drug candidates and to predict how those drugs will interact
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  Speaker 2: with the human body.
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  Speaker 1: So it can speed up the drug discovery process exactly.
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  Speaker 2: And it can also help to make the process more
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  Speaker 2: efficient and cost effective.
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  Speaker 1: That's great because developing new drugs is really expensive in time.
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  Speaker 2: Consuming it is, so AI has the potential to really
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  Speaker 2: revolutionize the way we develop new treatments.
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  Speaker 1: That's fantastic. Okay, So we've talked about finance, retail, and healthcare.
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  Speaker 1: What about some other industries. How is AI being used
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  Speaker 1: in manufacturing for example?
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  Speaker 2: Oh well, manufacturing is actually one of the industries that's
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  Speaker 2: been using AI for the longest time. You know, robots
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  Speaker 2: have been used on assembly lines for decades, but those
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  Speaker 2: robots are becoming more and more sophisticated thanks.
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  Speaker 1: To So what can these new AI powered robots do
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  Speaker 1: that the old robots couldn't do well.
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  Speaker 2: For one thing, they're more adaptable. You know, they can
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  Speaker 2: be programmed to perform a wider range of tasks, and
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  Speaker 2: they can adjust to changes in the environment more easily.
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  Speaker 1: So they're more like human workers.
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  Speaker 2: In some ways. Yes, you know, they're not going to
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  Speaker 2: replace human workers entirely, but they can definitely augment their capabilities.
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  Speaker 1: Okay, so manufacturing is one area where AI is having
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  Speaker 1: a big impact. Yeah, what about transportation.
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  Speaker 2: Transportation is another industry that's being disrupted by AI. You know,
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  Speaker 2: we're already seeing self driving cars on the roads, and
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  Speaker 2: AI is also being used to optimize traffic flow and
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  Speaker 2: to improve the efficiency of logistics and delivery.
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  Speaker 1: So it's like AI is taking over the whole transportation system.
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  Speaker 2: Well, it's not quite there yet, but it's definitely moving
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  Speaker 2: in that direction.
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  Speaker 1: It's amazing to think about how much our world is
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  Speaker 1: going to change in the years to come thanks to AI.
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  Speaker 2: It really is. You know, it's an exciting time to
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  Speaker 2: be alive and I can't wait to see what the
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  Speaker 2: future holds me neither.
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  Speaker 1: Okay, so we've talked about a lot of different industries today,
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  Speaker 1: but There's one more that I want to touch on,
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  Speaker 1: and that's education.
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  Speaker 2: Oh yeah, Education is a really interesting one because it's
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  Speaker 2: an area where AI has the potential to make a
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  Speaker 2: huge positive impact.
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  Speaker 1: So how is AI being used in education?
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  Speaker 2: Well, one way is in personalized learning. You know, AI
• 12:18
  Speaker 2: can be used to create custom learning plans for each
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  Speaker 2: student based on their individual strengths and weaknesses.
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  Speaker 1: So it's like having a personal tutor for every student exactly.
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  Speaker 2: And it can be really helpful in helping students to
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  Speaker 2: learn at their own pace and to master the material.
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  Speaker 1: That sounds great because not all students learn at the
• 12:36
  Speaker 1: same pace.
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  Speaker 2: Right, So AI can help to level the playing field
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  Speaker 2: and to make sure that every student has the opportunity
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  Speaker 2: to succeed.
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  Speaker 1: That's a really important goal.
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  Speaker 2: What else, AI is also being used to automate some
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  Speaker 2: of the more tedious tasks that teachers have to do,
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  Speaker 2: such as grading papers and providing feedback, So that.
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  Speaker 1: Can free up teachers to spend more time actually teaching.
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  Speaker 2: Exactly, and it can also help to provide more consistent,
• 13:00
  Speaker 2: an objective feedback to students.
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  Speaker 1: That makes sense. Okay, So it sounds like AI has
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  Speaker 1: the potential to really transform education.
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  Speaker 2: It does you know, it's still early days, but I
• 13:08
  Speaker 2: think we're going to see some really amazing things happening
• 13:10
  Speaker 2: in this space in the years to come.
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  Speaker 1: I'm excited to see what the future holds. Okay, so
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  Speaker 1: we've covered a lot of ground today. We've talked about
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  Speaker 1: how AI is being used in a wide range of industries,
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  Speaker 1: and we've discussed some of the challenges and opportunities that
• 13:24
  Speaker 1: lie ahead.
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  Speaker 2: And in our next segment we'll be shifting gears a
• 13:27
  Speaker 2: bit and we'll be talking about some of the broader
• 13:29
  Speaker 2: societal implications of AI.
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  Speaker 1: So stay tuned. We'll be right back after the break.
• 13:36
  Speaker 1: All Right, So we're back, and you know, we spent
• 13:37
  Speaker 1: a good chunk of time now talking about how AI
• 13:40
  Speaker 1: is already being used in so many different industries.
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  Speaker 2: It's really mind blowing when you think about it, right,
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  Speaker 2: I mean, who would have thought even just a few
• 13:47
  Speaker 2: years ago, that we'd be having conversations with chatbots, you know,
• 13:50
  Speaker 2: or that algorithms would be helping to diagnose diseases right exactly.
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  Speaker 1: And it's clear that AI is only going to become
• 13:57
  Speaker 1: more prevalent in our lives than the years to come.
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  Speaker 2: I mean, the pace of innovation in this field is
• 14:02
  Speaker 2: just incredible. And you know, we've talked a lot about
• 14:05
  Speaker 2: the potential benefits of AI, but I think it's also
• 14:07
  Speaker 2: important to talk about some of the potential risks and
• 14:09
  Speaker 2: challenges as well.
• 14:10
  Speaker 1: Yeah. Absolutely. You know, it's easy to get caught up
• 14:13
  Speaker 1: in all the hype, but we need to be realistic
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  Speaker 1: about the potential downsigns of AI.
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  Speaker 2: Too, exactly. So one of the biggest concerns is, of course,
• 14:21
  Speaker 2: job displacement. You know, as AI becomes more sophisticated, it's
• 14:25
  Speaker 2: going to be able to automate more and more tasks
• 14:28
  Speaker 2: that are currently done by humans.
• 14:29
  Speaker 1: Right, And that's something that a lot of people are
• 14:31
  Speaker 1: worried about. Yeah, they're afraid that AI is going to
• 14:34
  Speaker 1: take their jobs.
• 14:35
  Speaker 2: Yeah, and it's a valid concern. I mean, there's no
• 14:37
  Speaker 2: doubt that some jobs are going to be lost to automation.
• 14:40
  Speaker 2: But I think it's important to remember that technology has
• 14:42
  Speaker 2: always disrupted the job market. You know, the invention of
• 14:45
  Speaker 2: the printing press put a lot of scribes out of work,
• 14:48
  Speaker 2: but it also created new jobs in the printing industry.
• 14:51
  Speaker 1: So you're saying that AI is going to create new
• 14:53
  Speaker 1: jobs as well.
• 14:54
  Speaker 2: Yes, absolutely. I mean, in fact, many experts believe that
• 14:59
  Speaker 2: AI is going to create more jobs than it destroys.
• 15:02
  Speaker 2: But those jobs are going to require different skills than
• 15:05
  Speaker 2: the jobs of today.
• 15:06
  Speaker 1: So what kind of skills are we talking about.
• 15:08
  Speaker 2: Well, for one thing, we're going to need to be
• 15:10
  Speaker 2: comfortable working with technology. You know, everyone is going to
• 15:13
  Speaker 2: need to have at least a basic understanding of how
• 15:16
  Speaker 2: AI works and how to use.
• 15:17
  Speaker 1: It, right, I mean, it's kind of like how everyone
• 15:19
  Speaker 1: needs to know how to use a computer.
• 15:20
  Speaker 2: These days exactly. But beyond that, we're also going to
• 15:23
  Speaker 2: need to develop those skills that are uniquely human, the
• 15:26
  Speaker 2: things that machines can't do, such as creativity, critical thinking,
• 15:31
  Speaker 2: problem solving, and emotional intelligence.
• 15:33
  Speaker 1: So those soft skills are going to become even more
• 15:36
  Speaker 1: important in the future, absolutely.
• 15:37
  Speaker 2: I mean, those are the skills that are going to
• 15:39
  Speaker 2: set us apart for machines, and there are the skills
• 15:40
  Speaker 2: that are going to be in high demand in the
• 15:42
  Speaker 2: job market.
• 15:43
  Speaker 1: Okay, so job displacement is one concern. What are some
• 15:47
  Speaker 1: of the other potential risks of AI?
• 15:49
  Speaker 2: Well, another big one is bias. You know, AI algorithms
• 15:52
  Speaker 2: are trained on data, and if that data is biased,
• 15:55
  Speaker 2: then the algorithm is going to be biased too.
• 15:57
  Speaker 1: Can you give me an example of that.
• 15:58
  Speaker 2: Sure. So, let's say you're using an AI algorithm to
• 16:02
  Speaker 2: screen job applicants. You know, if the data that the
• 16:06
  Speaker 2: algorithm is trained on is mostly from white men, then
• 16:10
  Speaker 2: the algorithm is going to be more likely to recommend
• 16:12
  Speaker 2: white men for the job, even if there are equally
• 16:14
  Speaker 2: qualified candidates from other groups.
• 16:16
  Speaker 1: Oh wow, So that's a real problem.
• 16:18
  Speaker 2: It is, and it's something that we need to be
• 16:20
  Speaker 2: very careful about. You know, we need to make sure
• 16:23
  Speaker 2: that the data that we're using to train AI algorithms
• 16:26
  Speaker 2: is representative of the population as a whole, and we
• 16:29
  Speaker 2: need to be aware of the potential for bias in
• 16:31
  Speaker 2: these systems.
• 16:32
  Speaker 1: Okay, so bias is another big concern.
• 16:34
  Speaker 2: What else Well, another potential risk is the concentration of power.
• 16:38
  Speaker 2: You know, as AI becomes more powerful, it's going to
• 16:40
  Speaker 2: be increasingly controlled by a small number of large companies
• 16:44
  Speaker 2: and governments.
• 16:44
  Speaker 1: And that could be a problem because because it could lead.
• 16:46
  Speaker 2: To a situation where a few powerful entities have a
• 16:49
  Speaker 2: lot of control over our lives. You know, they could
• 16:52
  Speaker 2: use AI to manipulate us, to surveil us, to even
• 16:55
  Speaker 2: control us.
• 16:55
  Speaker 1: That sounds pretty dystopient it does.
• 16:57
  Speaker 2: And it's something that we need to be mindful of.
• 16:59
  Speaker 2: You know, we need to make sure that AI is
• 17:02
  Speaker 2: developed and used in a way that benefits all of humanity,
• 17:05
  Speaker 2: not just a select few.
• 17:07
  Speaker 1: Okay, so we've talked about some of the potential risks
• 17:09
  Speaker 1: of AI, but I think it's also important to remember
• 17:12
  Speaker 1: that AI has the potential to do a lot of
• 17:14
  Speaker 1: good in the world too.
• 17:15
  Speaker 2: Oh absolutely, I mean AI has the potential to solve
• 17:19
  Speaker 2: some of the world's biggest problems, such as poverty, hunger,
• 17:22
  Speaker 2: and disease.
• 17:23
  Speaker 1: So how can we make sure that AI is use
• 17:25
  Speaker 1: for good?
• 17:26
  Speaker 2: Well, one thing we can do is to focus on
• 17:28
  Speaker 2: developing AI systems that are aligned with our values, you know,
• 17:32
  Speaker 2: systems that are fair, transparent, and accountable.
• 17:35
  Speaker 1: So we need to make sure that AI is used
• 17:37
  Speaker 1: in an ethical way exactly.
• 17:39
  Speaker 2: And we also need to make sure that everyone has
• 17:40
  Speaker 2: access to the benefits of AI. You know, we need
• 17:43
  Speaker 2: to make sure that AI doesn't just benefit the wealthy
• 17:45
  Speaker 2: and powerful, but that it also benefits the poor and marginalize.
• 17:48
  Speaker 1: So it's about using AI to create a more just,
• 17:52
  Speaker 1: an equitable world exactly.
• 17:54
  Speaker 2: You know, I think AI has the potential to make
• 17:56
  Speaker 2: the world a better place. But it's up to us
• 17:58
  Speaker 2: to make sure that happens.
• 18:00
  Speaker 1: Said, I think that's a great note to end on.
• 18:01
  Speaker 1: So to sum up AI is a powerful technology with
• 18:06
  Speaker 1: the potential to both help and harm us. It's up
• 18:09
  Speaker 1: to us to use it wisely and to make sure
• 18:11
  Speaker 1: that it's used for good.
• 18:13
  Speaker 2: I agree. You know, we need to be thoughtful about
• 18:15
  Speaker 2: how we develop and deploy AI, and we need to
• 18:18
  Speaker 2: make sure that it's used in a way that benefits
• 18:20
  Speaker 2: all of humanity.
• 18:22
  Speaker 1: Well that's all the time we have for today. Thanks
• 18:24
  Speaker 1: for joining us for another deep dive.
• 18:25
  Speaker 2: Yes, thanks for having me. It's been a great conversation.
• 18:29
  Speaker 1: And to our listeners, we hope you found this episode
• 18:31
  Speaker 1: informative and thought provoking. If you did, please be sure
• 18:34
  Speaker 1: to subscribe to our podcast and leave us a review.
• 18:36
  Speaker 1: And as always, keep exploring, keep learning, and keep diving deep.