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Discrimination in Online Personalization - A Multidisciplinary Inquiry

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM FAccT Conference Courses Algorithmic Bias Courses

Course Description

Overview

Explore a thought-provoking conference talk from FAT* 2018 that delves into the critical issue of discrimination in online personalization. Join Amit Datta from Carnegie Mellon University and Jael Makagon from the University of California, Berkeley as they present their multidisciplinary research on this timely topic. Discover how online personalization algorithms can inadvertently lead to discriminatory practices and their potential impact on users. Learn about the collaborative efforts of researchers from various fields, including Anupam Datta, Deirdre K. Mulligan, and Michael Carl Tschantz, in addressing this complex problem. Gain insights into the intersection of technology, ethics, and policy as the speakers discuss their findings and potential solutions to mitigate discrimination in online platforms. This 23-minute presentation offers a concise yet comprehensive overview of an increasingly relevant issue in our digital age.

Syllabus

FAT* 2018: Amit Datta & Jael Makagon - Discrimination in Online Personalization


Taught by

ACM FAccT Conference

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