Ars Boni 342 Regulating AI - A Computer Science Perspective

1

Introduction

00:00 • 4min

2

Irini, I'm Back in Munich!

04:05 • 2min

3

Is There a Strategic Interest in Artificial Intelligence?

05:49 • 5min

4

Data Science Computer Science - Data Science Machine Learning

10:21 • 3min

5

Is It Too Early or Too Late to Develop a Responsible AI?

13:05 • 6min

6

Multi-Discrimination in Data Science

18:38 • 2min

7

Is This a Computer Science Question or Is It an Algorithm?

20:18 • 4min

8

Are We Missing Some Significant Developments Outside of the Scope of the Regulation?

24:33 • 5min

9

Is Awareness an Issue Here?

29:05 • 1min

10

Using a Black Box in a Data Set to Make a Decision

30:21 • 5min

11

Is This the Right Application or Not?

35:18 • 3min

12

The Importance of Explanation and Explainability

38:44 • 5min

13

The Risk Management of a High Risk AI System

43:15 • 3min

14

Is Iterative or Continuous?

45:48 • 3min

15

The Unicorn Paradigm

49:06 • 3min

16

Is There a Need for a Multidisciplinary Education in Computer Science?

51:51 • 3min

17

How to Explain a Dataset in High-Risk AI Systems

55:14 • 4min

18

Data Protection - Is There a Legal Framework?

58:55 • 2min

19

The Good News Is There's Plenty Plenty Lots Plenty Plenty Plenty Much Work

01:00:47 • 2min

20

Academic Debate Is Certain if There Is Any Progress Is There Any Progress?

01:02:32 • 3min