Yejin Choi: Teaching Machines Common Sense and Morality

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.

Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

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