Yejin Choi: Teaching Machines Common Sense and Morality

1

Introduction

00:00 • 2min

2

Are We Going to Have Another Winter?

02:20 • 2min

3

What's the Difference Between Deep Learning and NLP?

03:59 • 1min

4

Theoretical Models and Theorems

05:29 • 2min

5

Natural Language Processing Is Chasing After the Wrong Goal?

07:29 • 4min

6

What's the Bottom Up Approach to Learning From the Data?

11:17 • 3min

7

Common Sensitivity in Machine Learning

14:14 • 3min

8

Is There a Machine's Ability to Pick Up the World?

16:59 • 3min

9

The Concept of Abduction or Obductive Reasoning

20:13 • 3min

10

Common Sense Reasoning in Multiple Choice Questions

23:43 • 3min

11

Multiple Choice Questions Aren't Superindicative of Common Sense Intelligence

26:52 • 3min

12

Is There a Difference Between Generative and Discriminati Valuation?

29:29 • 3min

13

How to Improve Predict Middle Sentence by Reading Left and Right Sentences

32:13 • 4min

14

Dolorian and Thes Inferance Base Common Sense

36:06 • 4min

15

Taking a Pre Trained Language Model and Filtering Out the Bad Information?

40:07 • 3min

16

Common Sensible Reasoning in Language Models

42:47 • 3min

17

The Importance of Common Sensible Reasoning

46:03 • 3min

18

The Ethical Implications of Common Sense Intelligence

48:36 • 4min

19

How Do You Measure the Performance of a Language Model?

52:36 • 4min

20

How Do Humans Evaluate and Make Moral Judgments Using Descriptive Morality?

56:22 • 4min

21

Is It a Can of Worms?

01:00:12 • 3min

22

Are Tatai Systems a Moral Authority or Sources of Advice on Human Ethics?

01:03:08 • 4min

23

I Think the Policy Factors in the Cultural Norms Are Really Important

01:07:11 • 4min

24

What's Next for Computer Science?

01:10:46 • 4min

25

Gradiand Podcast - Part 2

01:14:18 • 2min