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AI Fairness and Social Inequality: Why having the right data matters

Lecture Series "Artificial Intelligence in Science and Society"/ Ringvorlesung "K√ľnstliche Intelligenz in Wissenschaft und Gesellschaft"

25.05.2022 15:00  – 17:00 

On Wednesday, May 25th, 2022, Prof. Dr. Frauke Kreuter (Chair of Statistics and Data Science in Social Sciences and the Humanities (SODA), LMU Munich) will present the lecture "AI Fairness and Social Inequality: Why having the right data matters," the third lecture of the lecture series "Artificial Intelligence in Science and Society."

Artificial intelligence (AI) and Big Data offer enormous potential to explore and solve complex societal challenges. In the labor market context, for instance, AI is used to optimize bureaucratic procedures and minimize potential errors in human decisions. AI is also applied to identify patterns in digital data trails. Data trails are created when people use smartphones and IoT devices or browse the internet, for example. Unfortunately, the fact that all of this is dependent on social and economic contexts is often ignored when AI is used, and the importance of high-quality data is frequently overlooked. There is growing concern about the lack of fairness—an essential criterion for making good use of AI, and growing concern about the lack of diversity in data. This lecture introduces a framework that allows students to understand what to look out for when evaluating the quality of data streams and outlines the latest developments in the use of AI and Big Data with applications in economics, social research, and policymaking.

The lecture is a component of the new minor "AI as a major Minor" (AIM@LMU,, currently in the planning phase, and open to all LMU students.

When: Wednesday 15h - 17h (c.t.)
Where: Geschw.-Scholl-Pl. 1 (A) - A 120, on-site, max. 120 seats
Language: English and German

Please note, as of 1 June 2022, the lecture will take place from 16 to 18h. (c.t.)

Please note the currently valid Corona regulations at the LMU. In particular, wearing an FFP2 mask is required if the minimum distance of 1.50 m cannot be maintained.

We look forward to seeing you there.