Is AI eroding public confidence in technology? Can AI be trustworthy? In the second Turing Lecture, Abeba Birhane will unpack the biases in data and its downstream impact on AI systems and shows how it can lead to unfair outcomes in our daily lives.

She’ll look at why this happens, why it’s such a big issue and how researchers, activists and policy makers are tackling the problem.

By the end of this talk, you’ll have an improved understanding of the AI systems that increasingly shape our world. You’ll be better equipped to ask critical questions about AI technologies and understand why rigorous testing of AI systems and accountability of tech corporations is so crucial – no matter your background, you’ll learn something valuable.

This series of Turing Lectures is presented by The Alan Turing Institute, in partnership with Knowledge Quarter.

00:00 Welcome and Introduction
00:34 The Alan Turing Institute and Lecture Series
01:38 Exploring AI and Society
02:59 Introducing Dr. Abeba Berhane
05:30 Understanding AI: Definitions and Misconceptions
12:57 AI’s Impact on Society and Concerns
29:57 Empirical Evidence and AI Audits
39:36 Data Practices and Ethical Concerns
46:39 AI’s Societal and Environmental Impact
52:21 Big Tech’s Influence on AI
56:11 The Impact of Influential Papers on Deepfake Technology
57:10 The Rise and Consequences of Deepfake Pornography
59:36 Deepfake’s Influence on Politics and Society
01:00:47 Challenges in Maintaining Knowledge Repositories
01:10:56 The Environmental Cost of AI
01:16:15 Ethical and Regulatory Issues in AI
01:22:53 Concluding Thoughts and Q&A

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