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Identifying Discrimination in Online Social Network Advertising
Guest Lecture by Professor Alan Mislove
Can algorithms quietly exclude people from opportunities like jobs, housing, or credit? Are online ads treating everyone fairly, and how would we even know? Who decides which ads you see, and on what basis? What happens when automated advertising crosses the line from personalization to discrimination?
This guest lecture by Professor Alan Mislove will examine how discrimination can arise in online social network advertising and how it can be identified through empirical analysis. Drawing on methods from algorithmic auditing, he will discuss how large-scale advertising and recommendation systems operate in practice, how they may produce biased or unequal outcomes, and what tools researchers can use to study these effects in real-world settings. The talk will address broader questions of algorithmic fairness, transparency, and accountability, with attention to the implications for regulation and public policy.
The presentation will be followed by Q&A session where participants will have a chance to ask questions and engage in interactive discussion on translating technical research into policy action. We will be informed by the speaker’s experience advising regulators and serving in government, including his time in the White House.