Skip to content
Home » Kriti Sharma: Can Robots Create a Fairer World? (Transcript)

Kriti Sharma: Can Robots Create a Fairer World? (Transcript)

Kriti Sharma is an AI technologist and one of the leading executives in the chatbots industry.

In this TEDx talk, Kriti Sharma, a global leader in the field of AI, discusses its potential future impact on society, and how we should be more afraid of our own biases than the so-called ‘robot apocalypse’.

Below is the full text of her talk titled “Can robots create a fairer world?” at TEDxWarwick conference.

Kriti Sharma – TEDx TRANSCRIPT

How many decisions have been made about you today, 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 stealing all our jobs, or robots getting citizenship of an actual country, I’m the person my friends and followers message freaking out about the future.

Let me share some of these messages with you.

[Deville Kilojoule]: “The robot takeover is starting. This is the beginning of the end.”

And one friend even texted me: “Oh, no, that worried emoji with its mouth wide open.”

And my favorite one was: “Sorry, I am late for break. I was watching the beginning of the Terminator in real-time.”

We see this everywhere. This media panic that our robot overlords are taking over. We could blame Hollywood for that. But in reality, that’s not the problem we should be focusing on. There is a more pressing danger, a bigger risk with AI, that we need to fix first.

So we are back to this question: How many decisions have been made about you today by AI? And how many of these were based on your gender, your race or your background?

Algorithms are being used all the time to make decisions about who we are and what we want. Some of the women in this room will know what I’m talking about if you’ve been made to sit through those pregnancy test adverts on YouTube like 1,000 times. Or you’ve scrolled past adverts of fertility clinics on your Facebook feed. Or in my case, Indian marriage bureaus.

ALSO READ:   Facebook’s CEO Mark Zuckerberg F8 2014 Keynote (Full Transcript)

But AI isn’t just being used to make decisions about what products we want to buy or which show we want to binge watch next.

I wonder how you’d feel about someone who thought things like this: “A black or Latino person is less likely than a white person to pay off their loan on time.” “A person called John makes a better programmer than a person called Mary.” “A black man is more likely to be a repeat offender than a white man.”

You’re probably thinking, “Wow, that sounds like a pretty sexist, racist person,” right? These are some real decisions that AI has made very recently, based on the biases it has learned from us, from the humans.

AI is being used to help decide whether or not you get that job interview; how much you pay for your car insurance; how good your credit score is; and even what rating you get in your annual performance review. But these decisions are all being filtered through its assumptions about our identity, our race, our gender, our age.

How is that happening?

So now let’s kick out for a second and see what’s going on in the world of AI.

Now, imagine an AI is helping a hiring manager find the next tech leader in the company. So far, the manager has been hiring mostly men. So the AI learns men are more likely to be programmers than women. And it’s a very short leap from there to: men make better programmers than women. We have reinforced our own bias into the AI. And now, it’s screening out female candidates.

Hang on, if a human hiring manager did that, we’d be outraged, we wouldn’t allow it. This kind of gender discrimination is not OK. And yet somehow, AI has become above the law, because a machine made the decision. That’s not it.

ALSO READ:   Google (GOOG) Presents at Credit Suisse Technology Conference (Transcript)

We are also reinforcing our bias in how we interact with AI. How often do you use a voice assistant like Siri, Alexa or even Cortana? 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 our obedient servants, turning your lights on and off, ordering your shopping.

You get male AIs too, but they tend to be more high-powered, like IBM Watson, making business decisions, Salesforce Einstein or ROSS, the robot lawyer. So poor robots, even they suffer from sexism in the workplace.

Think about how these two things combine and affect a kid growing up in today’s world around AI. So they’re doing some research for a school project and they Google images of CEO. The algorithm shows them results of mostly men. And now, they Google personal assistant. As you can guess, it shows them mostly females.

And then they want to put on some music, and maybe order some food, and now, they are barking orders at an obedient female voice assistant. Some of our brightest minds are creating this technology today. Technology that they could have created in any way they wanted. And yet, they have chosen to create it in the style of 1950s “Mad Man” secretary. Yay!

But OK, don’t worry, this is not going to end with me telling you that we are all heading towards sexist, racist machines running the world.

The good news about AI is that it is entirely within our control. We created and we get to decide what and how it learns. We get to teach the right values, the right ethics to AI. We just have to make the decision to do this sooner rather than later.

So there are three things we can do.

ALSO READ:   The Snowden Files: The Inside Story of the World’s Most Wanted Man by Luke Harding at TEDxAthens (Transcript)

One, we can be aware of our own biases and the bias in machines around us. Two, we can make sure that diverse teams are building this technology. And three, we have to give it diverse experiences to learn from.

I can talk about the first two from personal experience. When you work in technology and you don’t look like a Mark Zuckerberg or Elon Musk, your life is a little bit difficult, your ability gets questioned.

Here’s just one example. Like most developers, I often join online tech forums and share my knowledge to help others. And I’ve found, when I log on as myself, with my own photo, my own name, I tend to get questions or comments like this: “What makes you think you’re qualified to talk about AI?” “What makes you think you know about machine learning?”

Pages: First |1 | ... | Next → | Last | View Full Transcript