Measurementality #7: Why AI Registries are Critical for Metrics of Accountability with Sara Jordan and Anand Rao

1

Introduction

00:00 • 3min

2

How to Measure Success in a I Systems?

02:50 • 2min

3

Is Your Return on Investment a Good Thing?

05:17 • 2min

4

Ai Governance

07:40 • 2min

5

How to Define Fairness and Bias, Right?

10:08 • 2min

6

Are These Systems Really Secure?

12:22 • 4min

7

Ai Governants - What Are You Missing?

16:43 • 3min

8

Is There a Roll for Model Registry?

19:34 • 3min

9

What Is the Model Registry?

22:17 • 3min

10

Are You Using a Char Modal?

25:21 • 2min

11

I Governance

27:12 • 3min

12

Deploning

29:52 • 4min

13

Is There a Solution to the Regindustry?

34:10 • 54sec

14

Is It Possible to Measure Ai Performance in the Future?

35:03 • 4min

15

How Much Water Are We Pushing Through Our Cloud Computing Centers?

38:45 • 1min

16

The Future of Artificial Intelligence

40:06 • 2min

17

The Future Privacy Forem - A Review

42:11 • 4min

18

How Deep Learning Can Help the Environment

46:26 • 2min

19

I'd Buy Offsets for the Flights, but I'll Still Do Cool Stuff

48:01 • 4min