So thanks a lot everyone for, joining us.If you have any questions, as we go, feel free to, like, write in the chat, and we'll do our best to address those. Hopefully, you can hear us right. We have, like, a little, of, like, technical issues today. But, yeah, just, like, feel free to ask us and stop us at any moment if you need so, or you can maybe, like, leave leave it until the end for also, like, a q and a section. So just gonna, like, go ahead and present our screen. And we start with a short introduction. So, yeah, we have Chris over here.

And we have Stepe.

So we are, cofounders of She AI, which is an educational platform to teach women how to use, AI, or, like, how to basically make the best out of it. So, yeah. Like, I am the CEO and I'm CEO. And, well, we are here today to talk to you about, the possibility of AI making us dumber. So I have a background in psychology, and we've done some research in in CI to understand this issue and and the impact of education. So let's have a look at this. Yeah. If you can hear me right, you can, like, put some, like, thumbs up, that will be great.

Okay. There was some. No? Yeah. Good.

Thank you. Thank you.

Okay. So let's go back to the beginning when all of these started in the, release of the ChargeGPT, right, in 02/2022. Right? So it's, like, three years ago, and so many things changed right now. But I think so until now, we can, like, ask ourselves a question. Is ChargeGPT is really intelligent? Right? This is like a a question on many people's mind and an expert and scientists and just the people in general. And I think when we look at this question, we have to think about what do we understand by the intelligent. Right? Because we can understand it. It's something that is smart, then, yeah, ChargePoint is definitely is intelligent. Right? But if we're talking about if ChargePoint can actually, like, reasoning, understanding, have compassion, and feeling, I will have doubt about this.

So when we talk about the intelligent, we have to differentiate between two things. Right? Human intelligence and intelligence, like, being smart. Because we know that Chargebee is doing many things right now. Right? It can write the essays, make like, you can it can even function like your, psychologist in some way. You can go and ask for the relationship advice at 2AM in the morning. Right? But it's all, like, pre, learned by the data from the human. Right? So it doesn't have their own understanding and or feeling. And, this is what differentiate, ChargePD from human intelligence. And I'd like to call it maybe alien intelligent. I'm not like it's not my naming.

It's from,

you will have yes. Thank you so much.

I was always mixing up this name, because it's something that we actually do not understand, and it's something that is evolving every day with every model, with every, like, solution which is coming. It's just evolving and evolving. So it's something where we're gonna find out what kind of intelligence is gonna be in the future. So, Stephanie, tell us, what is the human intelligence?

Okay. So, yeah, when we talk about artificial intelligence, the first question is what is intelligence? And something that can give us some clues about it are neuroscientist perspectives. So we have the concept of embodiment, and embodiment is how we perceive the world through our sensation. So is that we use our nervous system to catch multiple, like, billions of data for, the eyesight, hearing, body sensation. So I got a little video to show you about this precisely, which is, like, a very nice, like, Disney animation.

It's very cute.

I mean, it's yeah. It's very cute. And then what is happening here is the body starts reacting in base of the day. So the brain obviously starts, like, explaining what's going on and and sending signs to the body to, well, interact with the world and create its own world model. So in this case, it's it's hilarious because we talk about predictions. And yeah.

Okay. So I'm gonna be

So our brain predicts a lot, functioning in a in a way that it it well, it's a very powerful creative machine, that, creates world models around us based on previous experience, learned experience, or just the the the embodiment that we that we feel. So AI is not there yet, actually. It's like, human intelligence and intelligence in general. We're talking about billions of years of evolution that cannot be replaced by just a very good imitator, which is the state of AI right now. Although, as, Chris was saying, this is the worst the technology is gonna be, and it's evolving in an unprecedented rate. So we believe this is just going to be, smarted up to the point that we have, AGI, which is artificial general intelligence, in about two years, where we believe or, well, in a way, actually, scientists have shown that it would surpass a human capacity for research, which could have a potential huge impact into the development of, medicine and, yeah, like, solutions for big societal issues.

Right. So let's see what's the power of AI precisely on imitating.

So probably, at least some of you see this, like, a very viral, TikTok, account, whereas the woman is showcasing, like, two objects and trying you to say, is it real or is it AI? Right? And we can see that the the result is mind blowing. Right? So sometimes you don't even can guess that this is not real. Right? You would, like, can't believe that this is for real, but this is actually AI, which just show us that AI actually is so when when they talk about the creativity and creating something, it's really, really excels at, imitations. Right? So copying. So not about maybe novelty as it is. Right? But something that is already exist so it can replicate, like, without, like, ideal almost ideal. Sometimes the person, if he wants to draw something, maybe he wouldn't be able to do this. So by the AI, he can do it, like, until the little small details.

Right?

Yeah.

So what are the issues about that? Let's explore some of the most worries, worries that we have, working in AI.

Yeah. I guess the most one of the thing that everybody is using AI is to get productive. Right? So they're using because this is what it's efficient. It can replace, like, a very routine and mundane task, and everybody just jump on this. And it's important, I think, it may may be true because if you remove this, very annoying the task when you wanna cry inside every time, right, you probably leave the space for being creative. Right? Because we all need some border in order to get creative. But at the same time, if we're gonna give all of these tasks to AI, how it's gonna, like, reflect on us as well. Right? Maybe we'll become stupid as well. So it's just like a really good question, you know? How which levels of, using AI should be in our, like, workflows?

Apart from that, we go to another, like, deeper level of, issue. So we have societal disruption. That means, AI has the potential to create bigger in social inequality. Why? Because you say, who has access to AI? First, they are well is, like, the data used for large language models is bay is Eurocentric and based on North America mainly. So how can we truly make sure that AI is having a response that can be, apply or generalized for populations, particularly marginalized populations. So we are seeing that at first, accessibility, obviously, is an issue, but also, the way these machines respond can just amplify preexisting biases. So when we're you using AI for creative writing, for example, or for creating, images or videos, like, think about AI using this based on model, data that is, very specific towards a certain population that don't necessarily speak to everyone.

So that is the dilemma of, homogenization. So it it creates a sense of, like, that the world is is just the same thing for everybody, which is very, very dangerous because it automatically impacts into something, like creative, problem solving and critical thinking. So there is this psychological effect that's called the false consensus effect. You can Google that. And it's this, yeah, like, psychological heuristic that happens, when you, sit with people around you that always agree with you. So, you will start believing that the rest of the world, also thinks like that. And that is the problem with social media and polarization, and it's an issue that only increases with AI.

Because if you have a machine like a godlike thing that is answering every question, in a very specific bias way, then it creates a false consensus effect that can help you, like or or towards a guide, towards more more bias. And also about, like, what about creativity and the in individuality? Like, what about our putting our own effort and our own impact? So we're gonna start, looking at some theories, like psychological theories, that explain more about that.

Yeah. Let's have a look at the study where it was performed in the Science Advanced. So it was like an article written about the effects of Gen AI on individual creativity. So, practically, the participants, we are divided into three groups. So one, they wouldn't use generative AI. The other ones, they use, one gen AI idea, so they just put one prompt. Right? And the other one is use five gen ideas, so So they can iterate five times with, Chargebee team. In this case, it was Chargebee team. So the task was very simple. The task was just eight sentences for their, like, teenagers and adults, like, young adults. And, and then they evaluate, right, how, like, creative, how much novelty it was, and, like, what impact it it has, like, usefulness.

So study shows that, actually, people who use Gen AI five times, right, for they get more creativity. They're more creative. And, yeah, they're more, like, useful, as a result. So they're they're the the the text. Right? The the story, let's say. However, the interesting fact, it was more creative and useful for people who read it, but it wasn't for the people who actually write it, so they write us as it is. And, also, the status shows that, the Gen AI is actually really, like, enhanced the capabilities of, like, moderate writers, you know, with a, like, a moderate level of writing creativity. However, the people who's already creative, like a genius, let's say, they get, like, a little speed up, you know, of their, of their skill.

I do love that.

Yeah. However, one of the problem that you have discovered is that, what of, like, all of the stories of the people who used AI, Gen AI, Chargebee team in this case, they actually were very similar because the structure so we make, like, a structural organization was more or less the same.

Right? So in this way, yes, it's more creative. But at some point of using it all the time, we will actually lose the novelty. Right? So the all the information, all the text are gonna be the same. Oh, like, I mean, not exactly the same, but there there will be, like, if you read it, you feel like, oh, I read it somewhere. I did another book in my in my shelf.

Yeah. So there are, like, multiple companies opting now for delegating creative writing to AI. And the problem is that it just starts to feel very similar. Like, every social media account, every post, every blog post is, like, more of the same and the same. So we are losing that, yeah, that precisely that novelty. And, also, how does it impact in the in the brain? So this study by Stanford 2024, it presents this concept of the use it or lose it principle. So, basically, if we stop using basic cognitive functions, we're gonna start, like, disrupting those neural connections. So, we we're really worried about the future, particularly of education and young people on how they confront boredom towards developing creative thinking. On the other hand, we also have this study by Dandridge, et al, 2023, where they explore the possibility of using AI with a Socratic method.

So instead of asking AI to write that, post for you or to create everything from zero, we can, use it as a special tutor that helps you come up with your own answer. So it reduces cognitive load. That means that it reduces the amount of energy that you spend, for, like, thinking about a specific problem or, like, mundane task and, oomments your capacity then an energy to focus on highly important things. So, yeah, I think, it's it's not a matter of, like, using it or stop using it. We obviously would need more studies, like, longitudinal studies to to to check the neurological impact of AI. But at the moment, what we see is that there is a potential of human computer collaboration if it's done well.

Because of that, I wanted to explain you also, like, precisely, creativity, is it means bringing into being. It's it's creating something. It's like giving birth to something. And we have four types of creativity. And, what is interesting is that AI taps into multiple phases of this. So we have divergent thinking or, very related with lateral thinking, the ability of if adapt and, and, like, income on different things at the same time, let's say, and, like, outside the box thinking sort of thing. Then you have spontaneous thinking, which is what we refer to imagination. So, we just, like, if you're sitting, in the window of the bus, like, kind of, like, imagining that you're in a fantastic world. If you're a fantasy reading like us, well, then then you're spontaneous thinking. It's, doing great. You have delivered thinking, which is innovation.

So after something, is already creative, how is a different way of looking at that? Is it highly related to divergent thinking, but it's more actionable, let's say? And then we have convergent thinking, which is the one that we use most of the time because it's the one that help us get task going and that that requires the less amount of energy specific for well, for different things. So AI can different like, tap into multiple things like that. For example, it can help you with this convergent thinking, kind of like like drafting tasks and and adapting, helping you adapt to multiple things. It can also help with, like, the divergent thinking sort of, like, organizing your thoughts or brainstorming. But can it really, like, tap into innovation and imagination? At the moment, these are just qualities, part of of human brains. So, but yeah.

Like we were saying at the beginning, it will be likely to see that more AI agents will start, like, imagining their own ideas and even dreaming, having dreams.

So but let's look at the bright side. Right? Not everything is so bad and scary and, like, another horror movie. There is still a lot of potential with using an AI. Right? But we also have to be to come to this with the right mindset. And one of the important thing is to be open. Right? So you have to be open to acknowledge this technology, to investigate it, to know all of this, like, ethical, biased knowledge, and you also have to be responsible user, right, on on this aspect.

Right. So the other, apart from open end and having a tech mindset, by the way, this is all based on the World Economic Forum. So these are, like, true skills that everybody's going to need to be able to effectively work in in the future of work. So we need, yeah, openness, a tech tech mindset, which is like a go get and research and educate yourself, but also collaboration. That means human computer collaboration. It's not like letting like, delegating everything to AI, but, like, really highlighting that critical thinking. So you could do, like, a little exercise with me right now about that. So, like, let's say that there is a company who wants to implement a system, an internal system, AI system to monitor employee activity. So first, what are your initial thoughts? Negative, positive? You know? Like, what is the first gut feeling that, you know, like, employee activity monitoring means to you?

Then you think about ethics. So what does it mean for, like, data privacy? But also, apart from ethics, what does it mean for the business, for productivity, for maybe creating more inclusive policies? And lastly, the third stage will be alternative thoughts. Is there any other way of looking with the now the new evidence that I gather to my initial thought? So if we start, like, creating, like, enhancing that, critical thinking, we will get eventually towards, more creative solutions that help us effectively collaborate with computers. Right.

So now a little bit about she yeah. I know. How we created and why we created it. So Stephanie, I give you this. It's your favorite.

So, well, this is obviously a very high level, like, syntax. The conclusion of what we just said is that AI has the potential, in fact, of making us dumber because it can, detriment neural networks, because we're not using it. And over reliance on AI is just going to, create in capacity to to adapt and to problem solve. But the human computer affects human computer collaboration and responsible AI applications, which is, like, policies is, like, implementing frameworks and creating openness and critical thinking, then that that kind of, like, fostering, attitudes, fostering those attitudes could lead us to, not, detriment our abilities, but on the other hand, enhance, our capacity and energy also to come up with very interesting, solutions.

But now, we have a big problem as well, and is the fact that, women are getting behind, on this. So in average, 35% of women are using sorry. I'm here. Bye. Okay. So 35% of women are using, AI compared to 54% of men in the workforce according to survey by job forms 2024. That means that it's it's a huge gap that would mean, like, a social economical disruption and lack of opportunity for women. We have 90% of jobs affected by 2027. 80% of those jobs are held by women, and only 90% of digital intelligence are, people working in AI are female. So that means that, we are it is a call to action for everybody. Just, like, not to, like, oh, yes. I use the GPT, and I'm going to take a prompt, engineering course.

It's about, like, forming yourself, like, educating yourself, and and, like, really understanding what

is this technology about, what

does it mean for me, and how can I apply it for my industry? Because it's not only about productivity. It it AI has the capacity for creating, social economical power, and that power is currently not well distributed. So we have a social responsibility with ourselves, with future generations to tackle that.

So, anyway, SheAI is educational platform which is provide the education, and community as well to support women in learning AI. So, practically, when you come to our platform, you're gonna get the courses, the some webinars, events, also ebooks that can help you to learn and introduce you into this world. We go in our educational platform, all of our courses are with ethics responsible use in mind and also helping you to create the proper AI mind mindset. So whatever your profession is, you can enter in our platform and find the solution of how experts in your field are using AI to get better workflow, you know, to get them more productive.

Right. So we are official partners also of United Nations. That means that all of our courses are certified by the initiative AI for good. And the that means that, we have a free version as well because we wanna guarantee free education and accessible education to everyone. So please feel free to explore and share this because it's it's truly, something that that we need to address urgently. We need just, like, women from every sector to understand how to use AI effectively, not to make you tougher, but to make you smarter. Cool. So thank you for joining us in the session today. You can have you scan, this, QR code when you can explore more about us. Ask us any questions that you might have. Yeah. Lovely to meet you all. Thank you.

If you have questions, happy to, like, check-in

the

chat. Yay. Thank you, everyone.