2nd June, 4PM EST DISINFORMATION SEMINAR SERIES: Auditing the hidden societal impacts of ad delivery algorithms
Prof. Aleksandra Korolova
, University of Southern California
Date: Thursday, June 02, 2022
Time: 4:00 PM to 5:00 PM Note: all times are in the Eastern Time Zone
Location: Seminar Room D507
Event Type: Seminar
Host: Dr. Una-May O'Reilly, ALFA Group, CSAIL
Contact: Aruna Sankaranarayanan, firstname.lastname@example.org
Relevant URL: https://disinformation.csail.mit.edu/
TALK: 2nd June, 4PM EST DISINFORMATION SEMINAR SERIES: Auditing the hidden societal impacts of ad delivery algorithms
Zoom link for the talk: https://mit.zoom.us/j/99788185253
Although targeted advertising has been touted as a way to give advertisers a choice in who they reach, increasingly, ad delivery algorithms designed by the ad platforms are invisibly refining those choices. In this talk, I will present our methodology for "black-box" auditing of the role of ad delivery algorithms in shaping who sees job and political ads using only the tools and data accessible to any advertiser. I will demonstrate that a platform's algorithmic choices can lead to discrimination in delivery of job ads along gender and racial lines, even when such skew was not intended by the advertiser and is not justified by differences in qualifications. Furthermore, I will show that a platform's choices shape the political ad delivery by hindering campaigns' ability to reach ideologically diverse voters. I will conclude by discussing the implications of our findings for the necessity of third-party auditing and the open questions of how to enable such auditing while preserving privacy.
Based on joint work with Muhammad Ali, Miranda Bogen, John Heidemann, Basileal Imana, Alan Mislove, Aaron Rieke, Piotr Sapiezynski.
Aleksandra Korolova is a WiSE Gabilan Assistant Professor of Computer Science at USC, where she studies societal impacts of algorithms and develops algorithms that enable data-driven innovations while preserving privacy and fairness. Prior to joining USC, Aleksandra was a research scientist at Google and a Computer Science Ph.D. student at Stanford. Aleksandra is a recipient of the 2020 NSF CAREER award, a co-winner of the 2011 PET Award for outstanding research in privacy enhancing technologies for exposing privacy violations of microtargeted advertising and a runner-up for the 2015 PET Award for RAPPOR, the first commercial deployment of differential privacy. Aleksandra's most recent research, on discrimination in ad delivery, has received the 2019 CSCW Honorable Mention Award and Recognition of Contribution to Diversity and Inclusion, was a runner-up for the 2021 WWW Best Student Paper Award, and was invited for a briefing for Members of the House Financial Services Committee.
Human-Computer Interaction, Security & Cryptography
Big Data, Cybersecurity
Created by Aruna Sankaranarayanan at Wednesday, June 01, 2022 at 9:58 AM.