AI Accountability Essential Training

Focused View

Barton Poulson

2:16:47

180 View

01 - Introduction

01 - What is AI accountability.mp4

01:17

02 - 1. The Context for AI

01 - The promise of AI.mp4

07:24

02 - General and narrow AI.mp4

05:00

03 - 2. Technical Challenges of AI

01 - The challenge of classification errors.mp4

03:39

02 - The causes of classification errors.mp4

06:18

03 - Bias in AI.mp4

03:50

04 - Supervised and unsupervised learning.mp4

08:16

05 - Biased labeling of data.mp4

07:15

06 - Construct validity.mp4

06:14

07 - The absence of meaning.mp4

04:54

08 - Vulnerability to attacks.mp4

04:45

04 - 3. Social Challenges of AI

01 - Dimensions of justice.mp4

04:29

02 - Moral and relational reasoning.mp4

06:44

03 - Issues of authenticity.mp4

03:48

05 - 4. Legal Challenges of AI

01 - Privacy laws.mp4

06:36

02 - Spurious discrimination.mp4

05:25

03 - The right to explanation.mp4

03:36

04 - Discrimination in data.mp4

04:21

05 - Discrimination in implementation.mp4

03:20

06 - 5. Safety Challenges of AI

01 - AI in life and death situations.mp4

04:30

02 - AI in the military.mp4

04:24

03 - The challenges of military AI.mp4

04:10

07 - 6. Confronting the Challenges of AI

01 - Strategies for developers.mp4

05:46

02 - Strategies for executives.mp4

04:18

03 - Strategies for public relations.mp4

04:35

04 - Strategies for regulators.mp4

04:11

05 - Strategies for consumers.mp4

03:55

08 - Conclusion

01 - Next steps.mp4

03:47

Description

Artificial intelligence (AI) offers businesses the potential for a dramatic increase in functionality and profitability, but it can also spark an array of complex ethical, legal, and social challenges. In this nontechnical, conceptually oriented course, Barton Poulson digs into the hazards of AI, offering potential solutions to key concerns. Barton explores the ethical issues posed by AI, including competing concepts of fairness and moral reasoning. He also goes over social concerns and safety challenges for AI, such as potential life-and-death scenarios in autonomous driving. Barton concludes with recommendations tailored to developers, executives, PR professionals, regulators, and consumers to help them reap the potential of AI in a manner that's worthy of trust and profitable to all.

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Artificial Intelligence

Barton Poulson

Instructor's Courses

Founder of datalab.cc, author for LinkedIn Learning, associate professor of psychology at Utah Valley University. I teach people how to use data to find practical solutions to real-life problems. #DataIsForDoing

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.