What Do TIME100 Innovators Wish More People Understood About AI?

TIME

TIME100 Innovators share the thing they wish more people understood about AI.

Transcript

00:00 (upbeat music)

00:02 AI is often described as something alien.

00:14 However, I prefer to think about it as us in aggregate.

00:17 It's a monumental collective accomplishment

00:20 trained on all of the human knowledge

00:21 that's archived online.

00:23 Humans should get more credit and we're working on that.

00:26 - One thing that I love to the broader public

00:28 to understand better about AI

00:30 is that AI, like many other forms of technology,

00:34 is a tool for humanity.

00:37 It's not inherently good or bad

00:39 in the same way that a shovel or a pickaxe isn't good or bad,

00:44 but it's about the way we use the technology

00:47 and make sure that it's used for the right purposes

00:51 in order to promote and push forward progress.

00:54 That is where the consequences

00:57 and potentially a lot of the upside comes as well.

01:00 - AI will impact almost every job out there

01:03 in the next five to 10 years,

01:05 but at the same time, that doesn't mean AI is conscious,

01:09 has a mind of its own,

01:10 is an existential threat to humanity,

01:13 because no one is working on AI doing whatever it wants.

01:17 Mostly it's about people and the systems

01:20 and the frameworks and the data that they use in AI

01:23 and that AI is part of that we have to worry about

01:27 and that's the AI itself.

01:28 - Instead of thinking that AI is some abstract thing

01:30 in the sky or in the cloud

01:32 that operates without any human intervention,

01:36 especially when we think about the goals of AI systems,

01:39 they're all specified by humans,

01:40 and so our ability to control or reduce some of the concerns

01:45 that folks have around AI are really achievable

01:49 by working on what a lot of people in the field

01:51 are calling alignment.

01:52 - I think that AI is often portrayed as a black box

01:55 and I wish people understood

01:57 that we can actually open up this box

01:59 and get a clear picture of the decision-making processes

02:03 in AI models.

02:04 It's not magic, really.

02:06 It's just well-crafted algorithms

02:08 that are used to explain patterns in large scales of data

02:12 that humans just can't always manually identify.

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