How many decisions or this week or this year, by artificial intelligence? I build AI for a living. So, full disclosure, I'm kind of a nerd. And because I'm kind of a nerd, wherever some new news story comes out about artificial intelligence or robots getting citizenship, I'm the person my friends freaking out about the future. We see this everywhere. This media panic that We could blame Hollywood for. But in reality, that's not the problem. There is a more pressing danger, that we need to fix first. So we are back to this question: How many decisions? And how many of these were based on your gender? Algorithms are being used all the time to make decisions about who we are. Some of the women in this room. If you've been made to sit through like 1,000 times. Or you've scrolled past adverts on your Facebook feed. Or in my case, Indian marriage bureaus. But AI isn't just being used about what products we want to buy or which show we want to binge watch next. I wonder how you'd feel about someone "A black or Latino person is less likely than a white person." "A person called John than a person called Mary." "A black man is more likely to be." You're probably thinking, "Wow, that sounds like a pretty sexist." These are some real decisions based on the biases from the humans. AI is being used to help decide how much you pay for your car insurance; how good your credit score is; and even what rating you get. But these decisions, its assumptions about our identity. How is that happening? Now, imagine an AI is helping find the next tech leader in the company. So far, the manager. So the AI learns men are more likely. And it's a very short leap from there to: men make better programmers than women. We have reinforced. And now, it's screening out. Hang on. If a human we'd be outraged, we wouldn't allow it. This kind of gender. And yet somehow, because a machine made the decision. That's not it. We are also reinforcing our bias. How often do you use a voice assistant? They all have two things in common: one, they can never get my name right, and second, they are all female. They are designed to be turning your lights on and off. You get male AIs too, like IBM Watson, Salesforce Einstein. So poor robots, even they suffer. Think about how these two things combine and affect a kid growing up. So they're doing some research and they Google images of CEO. The algorithm shows them. And now, they Google personal assistant. As you can guess. And then they want to put on some music, and now, they are barking orders. Some of our brightest minds. Technology that they could have created. And yet, they have chosen to create it. Yay! But OK, don't worry, this is not going to end that we are all heading towards. The good news about AI. We get to teach the right values. So there are three things we can do. One, we can be aware of our own biases and the bias in machines around us. Two, we can make sure that diverse teams. And three, we have to give it. I can talk about the first two. When you work in technology and you don't look like your life is a little bit difficult. Here's just one example. Like most developers, and share my knowledge to help others. And I've found, when I log on as myself, I tend to get questions "What makes you think." "What makes you think." So, as you do, I made a new profile. And this time, instead of my own picture. And I chose a name. You can probably guess. So, this time, I didn't get any of those and I was able to actually. And it sucks, guys. I've been building robots since I was 15. I have a few degrees in computer science. And yet, I had to hide my gender in order for my work. So, what's going on here? Are men just better? Another study found that when women coders on one platform their code was accepted. So this is not about the talent. This is about an elitism in AI that says a programmer. What we really need to do is bring people. We need people who can to help us create personalities of AI. We need people who can solve problems. We need people and we need people who can tell us and help us find ways. Because, when people when we build things in the right way, the possibilities are limitless. And that's what I want to end. Less racist robots, less machines and more about what technology. So, yes, some of the energy in the world of technology is going to be about. But a lot of it is going towards. Think about a pregnant woman who has to walk 17 hours to get a checkup. What if she could get diagnosis. Or think about what AI could do for those one in three women who face domestic violence. If it wasn't safe to talk out loud, they could get an AI service, get financial and legal advice. These are all real examples of projects are working on right now, using AI. So, I'm sure in the next couple of days about the existential risk, robots taking over. And when something like that happens, I know I'll get the same messages. But I feel incredibly positive. This is our chance to remake the world. But to do that, we need to build it. We need people of different genders. We need women to be the makers and not just the machines. We need to think very carefully what data we give them, so they don't just repeat. So I hope I leave you. First, I hope you leave. And that the next time that assumes you are interested or online betting websites, that you think and remember that the same technology is assuming. Or that a woman is more likely. And I hope that reminds you. And second, I hope you think about the fact that you don't need to look a certain way or have a certain background to create AI, which is going to be. You don't need to look. You can look like me. And it is up to all of us in this room to convince the governments to build AI technology for everyone, including the edge cases. And for us all to get education about this phenomenal. Because if we do that, then we've only just scratched the surface. Thank you.