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Home > The Gradient Podcast > Yejin Choi: Teaching Machines Common Sense and Morality
Podcast: The Gradient Podcast
Episode:

Yejin Choi: Teaching Machines Common Sense and Morality

Category: Technology
Duration: 01:16:24
Publish Date: 2022-05-19 16:00:52
Description: In episode 26 of The Gradient Podcast, Daniel Bashir speaks to Yejin Choi, professor of Computer Science at the University of Washington, and senior research manager at the Allen Institute for Artificial Intelligence.

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Sections:

(00:00) Intro

(01:42) Getting Started in the Winter

(09:17) Has NLP lost its way?

(12:57) The Mosaic Project, Commonsense Intelligence

(18:20) A Priori Intuitions and Common Sense in Machines

(21:35) Abductive Reasoning

(24:49) Benchmarking Common Sense

(33:00) DeLorean and COMET - Algorithms for Commonsense Reasoning

(43:30) Positive and Negative uses of Commonsense Models

(49:40) Moral Reasoning

(57:00) Descriptive Morality, Meta-Ethical Concerns

(1:04:30) Potential Misuse

(1:12:15) Future Work

(1:16:23) Outro

Episode Links:

Yejin’s Homepage

The Curious Case of Commonsense Intelligence in Daedalus

Common Sense Comes Close to Computers in Quanta

Can Computers Learn Common Sense? in The New Yorker

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