How to keep human biases out of AI | Kriti Sharma

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4.1 • 11.9K Ratings

🗓️ 15 March 2019

⏱️ 12 minutes

🔗️ Recording | iTunes | RSS

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Summary

AI algorithms make important decisions about you all the time -- like how much you should pay for car insurance or whether or not you get that job interview. But what happens when these machines are built with human biases coded into their systems? Technologist Kriti Sharma explores how the lack of diversity in tech is creeping into our AI, offering three ways we can start making more ethical algorithms.

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Transcript

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0:00.0	This TED Talk features technologist Creti Sharma, recorded live at TEDx Warwick, 2018.
0:08.0	How many decisions have been made about you today, or this week, or this year, by artificial intelligence?
0:19.0	I build AI for a living, so full disclosure, I'm kind of a nerd.
0:24.8	And because I'm kind of a nerd, wherever some new, new story comes out about artificial intelligence
0:31.6	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.
0:42.3	We see this everywhere.
0:45.3	This media panic that our robot overlords are taking over.
0:50.3	We could blame Hollywood for that.
0:53.3	But in reality, that's not the problem we should be focusing on.
0:58.4	There is a more pressing danger, a bigger risk with AI,
1:02.1	that we need to fix first.
1:04.6	So we are back to this question.
1:06.9	How many decisions have been made about you today by AI?
1:12.6	And how many of these were based on your gender, your race, or your background?
1:21.6	Algorithms are being used all the time to make decisions about who we are and what we want.
1:29.1	Some of the women in this room will know what I'm talking about
1:32.5	if you've been made to sit through those pregnancy test adverts on YouTube
1:36.6	like a thousand times,
1:38.7	or you've scrolled past adverts of fertility clinics on your Facebook feed.
1:44.6	Or in my case, Indian Marriage Bureau's.
1:48.1	But AI isn't just being used to make decisions
1:51.2	about what products we want to buy
	...

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