286: [Sumedha Rai] Ai Review episode
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Get ready to explore the mind-blowing world of artificial intelligence! On this episode of About That Wallet, host Anthony Weaver chats with the brilliant Sumedha Rai's journey is nothing short of incredible, from her early days at the Central Bank of India to mastering the complexities of AI at NYU. She's not just talking about AI; she's building it, developing groundbreaking solutions that are transforming industries from finance to healthcare. Join us as we delve into Said's fascinating story and uncover the secrets of AI innovation.
Listeners will gain insight into how AI is reshaping the workforce and the ethical considerations that come with it. Said emphasizes the importance of human oversight in AI applications, especially in critical areas such as medical decision-making and loan approvals, where biases in data can have serious consequences. She advocates for a future where AI acts as a partner to humans, enhancing our capabilities rather than replacing them.
Throughout the episode, Sumedha shares her journey and offers practical advice for those looking to enter the field of AI. She highlights the significance of a solid foundation in mathematics and programming, encouraging listeners to embrace lifelong learning and curiosity. With resources like Andrew Ng's courses and the importance of engaging in meaningful conversations at conferences, Sumedha inspires everyone to become active participants in the evolving AI landscape.
As the discussion unfolds, the conversation turns to the potential downsides of AI, including issues of copyright and data privacy. Sumedha stresses the need for responsible AI development that prioritizes fairness and transparency, ensuring that technology serves to uplift communities rather than exacerbate inequalities.
In closing, Sumedha reflects on her commitment to using AI for social good, advocating for more women in tech and the importance of diverse perspectives in shaping the future of AI. This episode serves as a powerful reminder that the future of AI is not just about technology—it's about the values we instill in it and the impact it can have on our society.
💬 Question of the Day: How do you envision AI impacting your life and career in the coming years? Share your thoughts in the comments below!
💡 Connect with Sumedha Rai:
For more insights and to engage in meaningful conversations, reach out to Sumedha via her LinkedIn or visit her website.
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Transcript
>> Ai Sarah: Al right, so we're diving deep into AI today.
Speaker:>> Ai Sarah: This sounds like a plan.
Speaker:>> Ai Sarah: You seem really interested in figuring out where it's all headed, what it all
Speaker:means.
Speaker:>> Ai Sarah: Yeah, exactly. It's moving so fast.
Speaker:>> Ai Sarah: You've got a ton of material here.
Speaker:>> Ai Sarah: Right.
Speaker:>> Ai Sarah: And it looks like our main focus is gonna be this interview
Speaker:with Said De Rie.
Speaker:>> Ai Sarah: Okay. Yeah. A data scientist and AI
Speaker:strategist.
Speaker:>> Ai Sarah: Right. From the about that Wallet podcast. And
Speaker:she's had, like, the most interesting career path.
Speaker:Finance, the Central bank of India, then a
Speaker:Master'in AI at NYU.
Speaker:>> Ai Sarah: Oh, wow. And she even worked with Dr. Jan Leiun.
Speaker:Talk about being in the right place at the right time. He's like the godfather
Speaker:of convolutional neural nets.
Speaker:>> Ai Sarah: Right. Which for anyone who doesn't know, are like
Speaker:a huge E deal in deep learning and
Speaker:computer vision.
Speaker:>> Ai Sarah: But what I think is so cool is that her career path, it really shows
Speaker:how AI is impacting, like, every industry.
Speaker:It's not just this tech thing anymore.
Speaker:>> Ai Sarah: Totally. And she's not just thinking about it. She's actually building things.
Speaker:>> Ai Sarah: Yeah, she's got her hands dirty. Uh, developing fraud
Speaker:detection models for fintech companies. And then she's also
Speaker:working with NYU's Langbone Medical School on
Speaker:this super cutting edge research using AI
Speaker:in, get this, neurosurgery, marrowurgery.
Speaker:>> Ai Sarah: That's wild. I read that they're using something called
Speaker:Large language models, or LLMs.
Speaker:>> Ai Sarah: Yeah, LLMs are like these powerful AI systems
Speaker:that can, you know, process and generate human
Speaker:language. It's the tech behind chat,
Speaker:GPT, and all those other tools that are blowing
Speaker:everyone's minds.
Speaker:>> Ai Sarah: So they can actually understand medical records and stuff?
Speaker:>> Ai Sarah: Exactly. And like, assist surgeons during super
Speaker:complex procedures or even help personalize treatment
Speaker:plans based on a patient's medical history.
Speaker:Crazy, right?
Speaker:>> Ai Sarah: It sounds kind of terrifying, honestly. Like, how do we know these AI
Speaker:systems are being trained on data that's, you
Speaker:know, accurate and unbiased? Especially
Speaker:in medicine, we're talking about life or death decisions.
Speaker:>> Ai Sarah: Right. And that's a huge point that Sumeta makes. She
Speaker:stresses that, like, even with the best AI, humans
Speaker:still need to be in the loop. It's not about replacing doctors,
Speaker:it's about giving them better tools and making sure those tools are
Speaker:used responsibly.
Speaker:>> Ai Sarah: Okay, so it's like, AI can help, but it's not taking
Speaker:over completely.
Speaker:>> Ai Sarah: Yeah, more like AI as a partner, not a
Speaker:replacement. And she talks about using, like,
Speaker:quantifiable measures of fairness to make sure
Speaker:AI systems aren't, you know, accidentally discriminating
Speaker:against Certain groups, like, say, an AI model used for loan
Speaker:approvals. If it was trained on biased
Speaker:data, it could end up denying loans to qualified
Speaker:applicants just because of their background, which would be a
Speaker:huge problem.
Speaker:>> Ai Sarah: Totally.
Speaker:>> Ai Sarah: Yeah.
Speaker:>> Ai Sarah: Okay, so what about this whole thing about AI
Speaker:taking, uh, our jobs? I mean, I know people are freaking.
Speaker:>> Ai Sarah: Out about it, right? It's a common fear, for sure. And
Speaker:somania actually addresses it head on. She thinks, like, instead of
Speaker:being scared, we need to embrace AI, learn how to use
Speaker:it, because that's going to be key to success
Speaker:in the future job market.
Speaker:>> Ai Sarah: So instead of being replaced, it's more like our jobs are going to change.
Speaker:>> Ai Sarah: Yeah, exactly. Some jobs might be automated, sure.
Speaker:But AI will also create new opportunities, and it'll
Speaker:free up people to do more creative, more fulfilling work. Like,
Speaker:imagine if AI could handle all those boring data
Speaker:entry tasks. We could focus on solving problems,
Speaker:innovating, you know, actually using our brains.
Speaker:>> Ai Sarah: That would be amazing. So she's not saying, like, run for the
Speaker:hills?
Speaker:>> Ai Sarah: Not at all. She actually gave some really practical advice for people
Speaker:who want to get into the field.
Speaker:>> Ai Sarah: Oh, like what kind of advice? I'm always curious about that.
Speaker:>> Ai Sarah: Well, she said first you need a solid foundation.
Speaker:Math, statistics, computer science, those are
Speaker:your building blocks. And then she recommended
Speaker:some great resources, like Andrew Negags
Speaker:courses on Coursera.
Speaker:>> Ai Sarah: Oh, yeah, I've heard of those. They're supposed to be good.
Speaker:>> Ai Sarah: They are. And then there's Professor Cananciani. He has all
Speaker:this amazing free stuff online. It's really great
Speaker:for anyone who wants to start learning about AI.
Speaker:>> Ai Sarah: So it's not just about being like, a tech
Speaker:genius. Anyone can learn this stuff.
Speaker:>> Ai Sarah: That's what she says. It's about being curious, being
Speaker:willing to learn, and understanding how AI can be a
Speaker:powerful tool for solving problems and creating new
Speaker:things.
Speaker:>> Ai Sarah: That's awesome. But okay, we've talked about all the potential.
Speaker:What about the downsides? Like, what about the use of
Speaker:copyrighted material to train these AI
Speaker:models? That seems like a legal nightmare waiting to
Speaker:happen.
Speaker:>> Ai Sarah: Yeah, you're hitting on a major issue there. There are, like,
Speaker:actual lawsuits happening right now over whether it's
Speaker:legal for companies to train AI models
Speaker:on copyrighted books, articles, whatever, without
Speaker:permission. Some authors are even suing
Speaker:OpenAI, the company behind Chat TPT.
Speaker:>> Ai Sarah: Wow. So it's not just a theoretical debate. It's getting
Speaker:real.
Speaker:>> Ai Sarah: Totally. And it raises a big question.
Speaker:How do we balance the need for
Speaker:massive amounts of data to train these AI
Speaker:models with the rights of content creators? It's
Speaker:messy.
Speaker:>> Ai Sarah: It sounds like it okay, and then there's the whole privacy
Speaker:issue. How do we protect people's personal information
Speaker:in a world where AI is constantly
Speaker:collecting and analyzing data?
Speaker:>> Ai Sarah: Yeah, privacy is a big one. And Simeta pointed
Speaker:to the EU's General Data Protection Regulation, the
Speaker:GDPR, as a good example of how to protect data privacy. It
Speaker:gives people more control over their personal data and
Speaker:requires companies to be transparent about how they're using it.
Speaker:>> Ai Sarah: That makes sense. But she also mentioned that the US doesn't have any federal
Speaker:data privacy laws.
Speaker:>> Ai Sarah: Right, right. And that's creating problems, especially
Speaker:for companies that operate in multiple states.
Speaker:Every state has its own rules. It's a mess.
Speaker:>> Ai Sarah: So what's being done about that? Is anyone trying to fix it?
Speaker:>> Ai Sarah: Well, there's this new executive order on AI
Speaker:from the White House. It could be a step
Speaker:towards establishing clear national guidelines,
Speaker:but it's still early days. We'll have to see how it all shakes out.
Speaker:>> Ai Sarah: So, basically, there's a lot of uncertainty about how AI will be
Speaker:regulated here.
Speaker:>> Ai Sarah: In the U.S. exactly. And that uncertainty
Speaker:just adds another layer of complexity to
Speaker:an already incredibly complex field.
Speaker:But one thing's for sure, the
Speaker:conversation around AI is just getting started, and
Speaker:we all need to be part of it.
Speaker:>> Ai Sarah: I like that.
Speaker:So, before we move on, I wanted to touch on some of the research
Speaker:Saita has done herself. Like, she worked on something called keyword
Speaker:spotting.
Speaker:>> Ai Sarah: Oh, right. Which is super important for voice assistants like
Speaker:Alexa or Siri. You know how they recognize when you say, hey, Siri,
Speaker:or whatever?
Speaker:>> Ai Sarah: Exactly. Imagine trying to talk to your phone and it can't even figure out
Speaker:what you're saying.
Speaker:>> Ai Sarah: It wouldn't be very useful. So she actually used deep
Speaker:learning to improve the accuracy of
Speaker:keyword spotting, even with all the background noise and stuff.
Speaker:>> Ai Sarah: That's really cool. It's amazing how much AI is already
Speaker:impacting our lives, even in ways we don't really
Speaker:think about. And it sounds like Sumeta's
Speaker:work is pushing the boundaries of what's possible, from
Speaker:finance to healthare to how we interact with
Speaker:technology. It's all changing.
Speaker:>> Ai Sarah: And what I find really impressive is that she's not just focused on
Speaker:the technical stuff. She's really thinking about the ethical and
Speaker:social implications of AI, too.
Speaker:>> Ai Sarah: That's crucial.
Speaker:>> Ai Sarah: Yeah. She's not just building cool tech. She's thinking about
Speaker:how it will affect people's lives and trying to make sure it's used for
Speaker:good, which is something we should all be thinking about.
Speaker:>> Ai Sarah: Absolutely.
Speaker:>> Ai Sarah: And it's really inspiring to see how Sueda, uh,
Speaker:embodies that Idea of lifelong learning.
Speaker:Even with all her knowledge and experience, she'always
Speaker:looking for new perspectives, pushing herself to learn
Speaker:more.
Speaker:>> Ai Sarah: Yeah, I noticed that she mentioned in the podcast how much she loves going
Speaker:to conferences, meetups, things like that. Not just to
Speaker:present her own work, but, uh, you know, so get
Speaker:all in.
Speaker:>> Ai Sarah: She said she really gets a lot out of those academic
Speaker:research conferences. She feels like they give her
Speaker:like a more holistic view of the
Speaker:AI landscape. You know, how all the different areas of
Speaker:AI, like natural language processing,
Speaker:knowledge, graphs, all that stuff, how it all fits together.
Speaker:>> Ai Sarah: Right. It's like seeing the big picture, how all the pieces connect.
Speaker:M Did she have any tips for making the most of
Speaker:those events? Cause they can be overwhelming sometimes.
Speaker:>> Ai Sarah: Oh, absolutely. She said the key is to
Speaker:actually engage. Like have conversations,
Speaker:ask questions. She thinks that's where the
Speaker:real learning happens, through dialogue, bouncing ideas
Speaker:off each other, challenging your own assumptions, all that good
Speaker:stuff.
Speaker:>> Ai Sarah: That makes sense. It's easy to just passively listen to
Speaker:presentations. But those side conversations, that's
Speaker:where you really get the insights.
Speaker:>> Ai Sarah: Exactly. And she had some great advice for anyone who's, you
Speaker:know, maybe a little shy about asking questions.
Speaker:>> Ai Sarah: Oh yeah, a lot of people are, including me.
Speaker:>> Ai Sarah: Sometimes she said, just do it, don't be
Speaker:afraid, because it shows you're engaged, you're
Speaker:genuinely interested.
Speaker:>> Ai Sarah: It's like you're showing initiative.
Speaker:>> Ai Sarah: Exactly. And she even said that, like, even in job
Speaker:interviews, when they ask, uh, do you have any questions? For
Speaker:us, it's not just about impressing them.
Speaker:>> Ai Sarah: Oh, I never thought of it that way.
Speaker:>> Ai Sarah: It's a chance for you to learn more about the company, the
Speaker:team, the work environment. She encourages
Speaker:people to ask specific questions. You know, about
Speaker:the projects they'd be working on, the challenges, even the day
Speaker:to day stuff.
Speaker:>> Ai Sarah: It's like you're interviewing them right back. I love that.
Speaker:>> Ai Sarah: Totally. And she also said don't be afraid to
Speaker:think outside the box when it comes to job opportunities. You
Speaker:know, don't just focus on the big tech M companies or the trendy
Speaker:startups.
Speaker:>> Ai Sarah: Right. Because AI is everywhere now.
Speaker:>> Ai Sarah: It is. So look at startups, research positions,
Speaker:nonprofits, even government jobs. You never know where
Speaker:you'll find the perfect fit.
Speaker:>> Ai Sarah: So keep an open mind. And she also had some
Speaker:specific advice for those just starting out. Right?
Speaker:>> Ai Sarah: Yeah. She said mastery, at least one programming language is
Speaker:crucial. Python or R, those are
Speaker:the big ones.
Speaker:>> Ai Sarah: I'vefordd Python is kind of the go to for AI and data
Speaker:science.
Speaker:>> Ai Sarah: It is. And that's what they use in NYU's Data Science.
Speaker:Program. But the key is to really become fluent in
Speaker:whichever language you choose. Like build a solid
Speaker:foundation so you.
Speaker:>> Ai Sarah: Can actually build things, not just like copy and paste
Speaker:code from online.
Speaker:>> Ai Sarah: Exactly. And she encouraged people to go beyond just
Speaker:using pre built libraries and tools, like
Speaker:really understand the principles of AI and machine
Speaker:learning the math and stats behind it
Speaker:all.
Speaker:>> Ai Sarah: So it's not just about being a coder, it's about understanding how
Speaker:it all works under the hood.
Speaker:>> Ai Sarah: Exactly. And that part about understanding the
Speaker:fundamentals, it really stuck with me. It's a reminder that
Speaker:AI isn't just black boxes and magic
Speaker:algorithms. It's based on scientific
Speaker:principles, math, and a deep understanding of
Speaker:how data can be used to solve problems. And Suera's
Speaker:own journey really shows that she didn't shy away from the
Speaker:hard work, mastering those foundational concepts. And you can see how
Speaker:it's paid off for her in this fast moving field.
Speaker:>> Ai Sarah: Yeah, it's like she built her career on a solid foundation and
Speaker:now she can adapt to whatever comes next.
Speaker:>> Ai Sarah: Exactly. And it's not just about her technical skills,
Speaker:it's her passion for the ethical and social side of
Speaker:AI too.
Speaker:>> Ai Sarah: Yeah, we've talked a lot about the technical stuff, but AI is going
Speaker:to have a huge impact on society. We can't forget about
Speaker:that.
Speaker:>> Ai Sarah: Absolutely. It's not just about building smarter machines. It's
Speaker:about using those machines to make our lives
Speaker:better, to solve the big problems, make the world a
Speaker:more fair and just place. And Zida
Speaker:totally gets that.
Speaker:>> Ai Sarah: She doesn't just see AI as a tool, she sees it as
Speaker:this force that can shape society for good or for
Speaker:bad.
Speaker:>> Ai Sarah: And she's committed to using her knowledge and influence to make
Speaker:sure it'used for good, which is really
Speaker:admirable.
Speaker:>> Ai Sarah: It is.
Speaker:So I guess the question is, how do we prepare for this
Speaker:future where AI is like everywhere.
Speaker:>> Ai Sarah: Well, Saita had some interesting thoughts on that. She said we need to
Speaker:embrace lifelong learning, get comfortable with the fact that technology
Speaker:is always changing. It's not about fearing the
Speaker:unknown, it's about being curious, being willing to
Speaker:explore, and, you know, step outside our comfort zones.
Speaker:>> Ai Sarah: Yeah, it's easy to feel overwhelmed by all this new stuff coming
Speaker:at us all the time. But it sounds like she's saying, like,
Speaker:lean into it, be open to it.
Speaker:>> Ai Sarah: Exactly. And sheiv even talked about how she's trying to improve her own
Speaker:life and career by focusing on those deeper
Speaker:connections, having meaningful conversations, you know,
Speaker:connecting with people from different backgrounds, different
Speaker:industries, just getting those different perspectives.
Speaker:>> Ai Sarah: It's like in this world of constant
Speaker:Information overload. She's making a conscious
Speaker:effort to focus on the things that matter,
Speaker:the things that spark new ideas.
Speaker:>> Ai Sarah: And she specifically mentioned being really interested
Speaker:in how AI is intersecting with other fields
Speaker:like journalism, economics, even the
Speaker:arts. It's about recognizing that AI isn't just
Speaker:this isolated thing, it's changing everything. And
Speaker:she's actively looking for those connections, those places where AI
Speaker:can spark new creativity, new collaborations, new
Speaker:innovations.
Speaker:>> Ai Sarah: That's really cool. It's like the possibilities are endless. AI
Speaker:helping to create new art forms, tell stories in new ways,
Speaker:connect people across cultures.
Speaker:>> Ai Sarah: It's exciting and it reminds us that the future
Speaker:of AI isn't just about, like, building
Speaker:smarter machines. It's about how we use those machines
Speaker:to enhance our lives, to solve
Speaker:problems, to make the world a better place.
Speaker:>> Ai Sarah: And speaking of solving problems, Samea's work in
Speaker:fraud detection is especially relevant in the
Speaker:financial world. You know, with fintech and all that.
Speaker:>> Ai Sarah: Oh, absolutely. Fintech has been all over AI from the very
Speaker:beginning, using it to automate stuff, uh, analyze
Speaker:data, make better decisions. And Suta is right
Speaker:there in the thick of it, leading AI initiatives at
Speaker:a micro investmentments firm and always looking for new ways
Speaker:to use AI to get better financial app.
Speaker:>> Ai Sarah: But she's also realistic about it, Right?
Speaker:>> Ai Sarah: Right.
Speaker:>> Ai Sarah: Like, not every AI solution is actually a good solution.
Speaker:>> Ai Sarah: Totally. She warned against falling into that trap. You know, the
Speaker:shiny object syndrome, um, chasing after the latest buzzwords without
Speaker:really thinking it through, like, what's the actual need,
Speaker:what's the cost? Are there any unintended
Speaker:consequences? She really encourages businesses to ask
Speaker:tough questions, understand what's going on under the
Speaker:hood, make sure the data is being handled responsibly.
Speaker:>> Ai Sarah: It's like, don't just buy the hype, do your
Speaker:homework.
Speaker:>> Ai Sarah: Exactly. And she even said that sometimes
Speaker:the simplest solution is the best. Even in the
Speaker:world of finance, which can get super
Speaker:complex, it's about using AI strategically
Speaker:to help humans do their jobs better, not to
Speaker:completely replace them.
Speaker:>> Ai Sarah: Makes sense.
Speaker:And speaking of helping humans, her work in natural
Speaker:language processing, or nlp, is really fascinating.
Speaker:We touched on it earlier, but it' such a big area with so much
Speaker:potential.
Speaker:>> Ai Sarah: She's super passionate about how NLP can be used to
Speaker:understand human language, extract meaning from text,
Speaker:even create new forms of creative expression.
Speaker:She's working on a ton of different applications, from
Speaker:analyzing financial documents and social media data to
Speaker:automating tasks and providing personalized
Speaker:recommendations. Like, it's mind blowing.
Speaker:>> Ai Sarah: It is. And I think NLP is going to be even more important as we
Speaker:generate more and more data like we, we need AI to help
Speaker:us make sense of it all, especially when it comes to language, which
Speaker:is how we communicate, how we understand the world.
Speaker:>> Ai Sarah: Totally. And Satha sees NLP as one of the
Speaker:biggest drivers of AI innovation in the years
Speaker:to come. But she's also aware of the
Speaker:potential downsides, like bias. We
Speaker:talked about that earlier with the loan applications.
Speaker:>> Ai Sarah: Right. Because if these language models are trained on biased data,
Speaker:they'll just perpetuate those biases.
Speaker:>> Ai Sarah: Exactly. And that can have real consequences in all
Speaker:sorts of areas. Credit scoring, hiring,
Speaker:even criminal justice. Its a big deal.
Speaker:>> Ai Sarah: So how do we fix that? Is it even possible to create
Speaker:AI systems that are truly fair and
Speaker:unbiased?
Speaker:>> Ai Sarah: Well, Cmenta is a big advocate for building bias
Speaker:detection and mitigation into the development process from the
Speaker:very beginning. She thinks we need to be able to measure
Speaker:fairness, have clear metrics for evaluating bias,
Speaker:and constantly monitor these models to make sure they'making fair
Speaker:decisions. Its about responsibility and
Speaker:accountability, building systems that reflect our values.
Speaker:>> Ai Sarah: So its'not enough to just build cool tech, you have to build it the right
Speaker:way.
Speaker:>> Ai Sarah: Uh, exactly. And she'putting those principles
Speaker:into practice. And her own work, especially in
Speaker:Healthare, where she'exploring how these large
Speaker:language models, the LLMs, can actually
Speaker:revolutionize how we care for patients.
Speaker:>> Ai Sarah: Yeah, she mentioned being really interested in how they can be used to
Speaker:analyze medical records, help with diagnoses,
Speaker:even personalized treatment plans. Which is
Speaker:incredible.
Speaker:>> Ai Sarah: It is. Imagine if AI could help doctors make
Speaker:faster, more accurate diagnoses, or
Speaker:even predict and prevent diseases before they develop.
Speaker:>> Ai Sarah: That would be amazing. But you know, there are obviously concerns
Speaker:about privacy and security when it comes to AI and healthare.
Speaker:>> Ai Sarah: Oh, for sure. And Sumeeda gets that. She totally
Speaker:recognizes how sensitive medical data is and how
Speaker:important it is to keep it safe. She believes AI
Speaker:can transform healthare, but it has to be done
Speaker:thoughtfully, ethically, with the patient's wellbe being
Speaker:at the forefront.
Speaker:>> Ai Sarah: Okay, that's reassuring. It sounds like she's approaching this with a lot of
Speaker:care. And her research at NYU Langone,
Speaker:especially her work on AI and neurosurgery, that's like
Speaker:the cutting edge.
Speaker:>> Ai Sarah: It is. It's a field with really high stakes. And AI has
Speaker:the potential to make a huge difference.
Speaker:>> Ai Sarah: It's amazing to think about. And it just reinforces the idea
Speaker:that AI isn't just about building smarter
Speaker:machines. It'about using technology to make
Speaker:people's lives better.
Speaker:>> Ai Sarah: Exactly. And you can see that in Saidas'work it's all about
Speaker:the human impact she.
Speaker:>> Ai Sarah: Seems driven by a real sense of purpose, like
Speaker:she wants to use her skills to actually make a difference in
Speaker:the world.
Speaker:>> Ai Sarah: Totally. And it comes through in her passion for using
Speaker:AI to address those big societal challenges,
Speaker:like improving healthare and underserved communities,
Speaker:making sure everyone has access to quality education,
Speaker:creating AI systems that are fair and
Speaker:inclusive.
Speaker:>> Ai Sarah: Yeah, we haven't talked much about that yet. How AI can be
Speaker:used to make the world a more equitable place.
Speaker:>> Ai Sarah: Well, she'a big believer in responsible
Speaker:AI development, making sure these technologies are empowering
Speaker:people, not making things worse. She sees
Speaker:AI as a way to level the playing field, to create
Speaker:opportunities for people who'been left behind.
Speaker:>> Ai Sarah: Right. Because technology can either reinforce existing
Speaker:inequalities or help to break them down. It depends on how we use
Speaker:it.
Speaker:>> Ai Sarah: Exactly. And shes working with organizations
Speaker:that are using AI for social good,
Speaker:showing that it can be a powerful force for positive change.
Speaker:>> Ai Sarah: Its inspiring to see how shes using her platform to
Speaker:advocate for a more just world, a
Speaker:world where AI is used to lift people up, not
Speaker:hold them back.
Speaker:>> Ai Sarah: Its about aligning AI with social impact
Speaker:goals, using technology to tackle the
Speaker:biggest challenges we face as a society. And
Speaker:Saeda is leading by example, showing that innovation
Speaker:and social responsibility can go hand in hand.
Speaker:>> Ai Sarah: And shes also a big advocate for getting more women into
Speaker:A.I. uh, and Tecac, right?
Speaker:>> Ai Sarah: No, absolutely. She'very vocal about that. It'a field that's
Speaker:been dominated by men for way too long, and
Speaker:she'working to change that. Mentoring other women, speaking
Speaker:at conferences, sharing her story to inspire the next
Speaker:generation.
Speaker:>> Ai Sarah: Its so important to have those different voices, those different perspectives,
Speaker:especially as AI becomes more and more powerful, total.
Speaker:>> Ai Sarah: And her success is a testament to what women can achieve in this
Speaker:field. They're pushing boundaries, innovating,
Speaker:shaping the future.
Speaker:>> Ai Sarah: Of AI So as we're wrapping up this part of the
Speaker:discussion, what would you say are the key takeaways for
Speaker:our listener?
Speaker:>> Ai Sarah: I think the biggest takeaway is that AI isn't
Speaker:something that's going to happen in the future. It's here,
Speaker:now, it's evolving super fast,
Speaker:and it's already having a huge impact on our lives.
Speaker:>> Ai Sarah: And it's not just about the tech. It's about how we use
Speaker:it, the values we build into it, the kind of future
Speaker:we want to create.
Speaker:>> Ai Sarah: SUA s journey shows us that we all have a role to play
Speaker:in shaping that future. Whether you're a tech
Speaker:expert, a business leader, or just someone who's curious
Speaker:about the world, you can be part of this AI
Speaker:revolution.
Speaker:>> Ai Sarah: So Be curious, be informed, get involved.
Speaker:Because the future of AI is being written right now
Speaker:and we all have a chance to be part of the story. You know, it's really
Speaker:inspiring to see how Saida has taken her passion
Speaker:for social good and like woven
Speaker:it into her AI work.
Speaker:>> Ai Sarah: It is. Yeah, it's like a reminder that this tech, it can be a force
Speaker:for good, you know, if it's guided by the right people.
Speaker:>> Ai Sarah: And it's not just talk. She's out there actually doing things.
Speaker:>> Ai Sarah: Oh yeah, like she mentioned working with organizations that
Speaker:are using AI to bring
Speaker:healthcare to rural areas.
Speaker:>> Ai Sarah: Oh, that's huge.
Speaker:>> Ai Sarah: Right. And places that don't have a lot of
Speaker:doctors, specialists, all that.
Speaker:Imagine an AI that could like
Speaker:diagnose basic stuff or even just give
Speaker:advice.
Speaker:>> Ai Sarah: It would change so many lives. Sometimes we get so caught up in the
Speaker:cool AI stuff like self driving cars. But it's these
Speaker:basic needs that's where the real impact is.
Speaker:>> Ai Sarah: Absolutely. And she's also working on projects using AI
Speaker:for education.
Speaker:>> Ai Sarah: Okay, yeah, that's a big one.
Speaker:>> Ai Sarah: Like imagine AI tutors that can tailor
Speaker:lessons to each student. You know, everyone learns differently.
Speaker:>> Ai Sarah: Oh, that's amazing. Especially as, like, everything becomes
Speaker:more and more tech driven.
Speaker:>> Ai Sarah: Right. We need to make sure everyone has a chance to learn no matter what
Speaker:their background is.
Speaker:>> Ai Sarah: So true. And she also talked about making AI systems
Speaker:more inclusive.
Speaker:>> Ai Sarah: Right. So they benefit everyone, not just a
Speaker:select few. And one of the keys to that is having
Speaker:diverse teams building these systems.
Speaker:>> Ai Sarah: Yeah, that makes total sense. If the people creating the
Speaker:AI don't represent the whole world, then the AI won't
Speaker:either.
Speaker:>> Ai Sarah: Exactly. And she also talked about needing more
Speaker:transparency.
Speaker:>> Ai Sarah: Okay, what does that mean?
Speaker:>> Ai Sarah: Basically, we need to be able to understand how these AI
Speaker:systems are making decisions, hold them
Speaker:accountable.
Speaker:>> Ai Sarah: So it's not enough to just build cool tech, you got to build it
Speaker:responsibly.
Speaker:>> Ai Sarah: Right. And Sada's work really embodies that. Ah, she's
Speaker:not just an AI expert, she's like a leader, an
Speaker:advocate, someone who's using her skills for
Speaker:good.
Speaker:>> Ai Sarah: It's pretty inspiring, honestly, to see someone who's so
Speaker:passionate about both the tech and the human side of it.
Speaker:>> Ai Sarah: Absolutely. And her story shows that we all have a part
Speaker:to play in shaping the future of AI. It's not just up to the
Speaker:big tech companies.
Speaker:>> Ai Sarah: So what can our listeners do? Where can they learn more, get
Speaker:involved?
Speaker:>> Ai Sarah: Well, she actually encouraged people to reach out to her.
Speaker:>> Ai Sarah: Really?
Speaker:>> Ai Sarah: How? Through her website, LinkedIn,
Speaker:even her NYU email. It's E
Speaker:Raiu Edu.
Speaker:She seems really open to connecting with people who are
Speaker:passionate about AI and, you know, using it to make a
Speaker:difference.
Speaker:>> Ai Sarah: I love that. Uh, and of course, everyone should go back and listen to that full
Speaker:interview on the about that Wallet podcast, episode
Speaker:286.
Speaker:>> Ai Sarah: Yeah, we'll definitely put a link in the show notes. And if you're
Speaker:enjoying these deep dives and want to support Anthony Weaver
Speaker:in his mission, be sure to like and subscribe to the
Speaker:channel on YouTube, your favorite podcast app,
Speaker:wherever you're listening.
Speaker:>> Ai Sarah: Yeah, we really appreciate the support and you can also sign up for
Speaker:their newsletter@aboutthatwallet.com do
Speaker:newsletter to stay up to date on all things personal
Speaker:finance.
Speaker:So as we wrap up this whole AI deep dive,
Speaker:what are like, the big takeaways here?
Speaker:>> Ai Sarah: I think the main thing is AI isn't something
Speaker:that's coming in the future. It's already here. It's changing
Speaker:things fast, and it's affecting all of us.
Speaker:>> Ai Sarah: And it's not just about the tech. It's about the choices we
Speaker:make, the values we instill in these
Speaker:systems, the kind of world we want to create.
Speaker:>> Ai Sarah: SoA'sTory shows that we all have a say in
Speaker:that. We can choose to be passive or we can step
Speaker:up and help shape the future of AI.
Speaker:>> Ai Sarah: It's like the future is being written right now.
Speaker:>> Ai Sarah: Exactly. So let's make sure it's a good one.
