If AI is to serve the collective needs of humanity, how should machine intelligence be built and designed so that it can understand human language, feelings, intentions and behaviors, and interact with nuance and in multiple dimensions?
Stanford University computer science professor Dr. Fei-Fei Li and Greylock general partner Reid Hoffman discuss the ethical considerations researchers, technologists and policymakers should make when developing and deploying AI.
This episode was recorded as part of Greylock's Iconversations virtual speaker series. You can also find the podcast and transcript of this discussion here:
greylock.com/greymatter/fei-fei…human-centered-ai/
Chapters
0:00 Introduction
1:46 The Goal For Human Centered AI
6:00 The Role of HAI in the Industry
10:46 Importance of Being Human Centered
13:49 Early Career
17:51 Role of Industry in AI
23:01 Model Safety and Reliability
30:08 Ethics and Society View
38:23 AI in Healthcare
44:17 Robotics in the Business World
49:43 Making America More Competitive in AI
52:52 Diversity in AI
