Seminar: The social impacts of algorithmic decision-making

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Andres Abeliuk, University of Chile

The social impacts of algorithmic decision-making
Algorithmic systems play an increasingly pervasive role in shaping our daily experiences. Rather than existing in isolation, these technologies are intricately woven into the fabric of social systems, creating nuanced relationships between human behavior and algorithms. Studying the societal impact of algorithms raises critical questions and challenges, including measuring and mitigating potential negative effects and exploring innovative ways to improve collective decision-making processes. This seminar will explore two studies that examine the influence of algorithms on different social systems, ranging from cultural markets (e.g., Spotify) to algorithmic matching services (e.g., romantic dating websites).

Andrés Abeliuk is an assistant professor in the Department of Computer Science at the University of Chile and a researcher at the National Center for Artificial Intelligence (CENIA). His research studies the interplay between algorithms and human dynamics in socio-technical systems. Using a multidisciplinary approach, he applies techniques such as machine learning models, optimization, game theory, and online experiments to guide collective behavior towards more efficient and equitable outcomes. In 2016, he received his Ph.D. in computer science from the University of Melbourne, Australia. His thesis was on the optimality and predictability of socially influenced online markets.

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Meeting number: 2744 691 9530
Password: qnNcitYQ852