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Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas

30 | Derek Leben on Ethics for Robots and Artificial Intelligences

Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas

Sean Carroll

Physics, Science

4.74.7K Ratings

🗓️ 21 January 2019

⏱️ 89 minutes

🧾️ Download transcript

Summary

It's hardly news that computers are exerting ever more influence over our lives. And we're beginning to see the first glimmers of some kind of artificial intelligence: computer programs have become much better than humans at well-defined jobs like playing chess and Go, and are increasingly called upon for messier tasks, like driving cars. Once we leave the highly constrained sphere of artificial games and enter the real world of human actions, our artificial intelligences are going to have to make choices about the best course of action in unclear circumstances: they will have to learn to be ethical. I talk to Derek Leben about what this might mean and what kind of ethics our computers should be taught. It's a wide-ranging discussion involving computer science, philosophy, economics, and game theory. Support Mindscape on Patreon or Paypal. Derek Leben received his Ph.D. in philosopy from Johns Hopkins University in 2012. He is currently an Associate Professor of Philosophy at the University of Pittsburgh at Johnstown. He is the author of Ethics for Robots: How to Design a Moral Algorithm. PhilPapers profile University web page Ethics for Robots "A Rawlsian Algorithm for Autonomous Vehicles"

Transcript

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0:00.0

Hello everyone and welcome to the Mindscape Podcast. I'm your host, Sean Carroll.

0:04.3

In today's episode, we're going to see where the rubber hits the road in moral philosophy.

0:09.1

And I mean that quite literally. You've all heard about self-driving cars,

0:13.4

and you may have heard about the idea that self-driving cars are going to have to solve the trolley problem.

0:19.0

This famous thought experiment in philosophy where you can either continue to do something,

0:24.0

and several people will die, or you can take an action to prevent your current course of action,

0:30.3

and do something different, and fewer people will die. Is it okay to intentionally kill a smaller

0:36.4

number of people to save a larger number of people? You might not think that this is something you

0:41.5

are going to need to deal with, but it's simply an illustration of the kinds of problems that all

0:47.1

sorts of robots and artificial intelligences are going to have to deal with. They're going to need

0:52.2

to make choices, and in the extreme examples, they're going to need to make hard choices about how

0:58.1

to cause the least harm. As one example, should a self-driving car, if there are two bicyclists in the

1:04.5

way, and it judges that it's going to have to hit one of them, should the self-driving car target

1:10.7

a bicyclist with a helmet, rather than one without, on the theory that wearing a helmet makes that

1:16.2

bicyclist more safe, and therefore in some sense that person should get punished for wearing the

1:21.6

helmet that doesn't seem right. These are moral intuitions that lead to really hard problems,

1:26.7

and we have to face up to them. Today's guest, Derek Lieben, is a philosopher who has written a new

1:31.9

book called Ethics for Robots, where he tackles exactly these questions, not just self-driving cars,

1:37.5

but the general idea of what kind of moral decision processes should we program into our artificial

1:45.2

intelligences? I think it's just a fascinating topic to think about, because on the one hand,

1:50.1

Derek's book involves big ideas from moral philosophy, utilitarianism versus deontology,

1:56.9

John Roles' theory of justice, things like that. On the other hand, very down to earth questions

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