Post written by: Zoe Kahn and Emma Lurie On February 24th, the Algorithmic Fairness and Opacity Working Group (AFOG) hosted Madeleine Clare Elish, who leads the AI on the Ground Initiative at Data and Society. Elish shared two papers, “The Human Body is a Black Box”: Supporting Clinical Decision-Making with Read more…
Post Written By: Shazeda Ahmed On February 10th, the Algorithmic Fairness and Opacity Working Group (AFOG) hosted Sava Saheli Singh, a Postdoctoral Fellow in the Department of Criminology at the University of Ottawa. Saheli Singh screened three short fictional films she and colleagues at the Surveillance Studies Centre of Queen’s University produced Read more…
Click here for full report as PDF In June of 2018, the Algorithmic Fairness and Opacity Working Group (AFOG) held a summer workshop with the theme “Algorithms are Opaque and Unfair: Now What?.” The event was organized by Berkeley I School Professors (and AFOG co-directors) Jenna Burrell and Deirdre Mulligan Read more…
NOTE: this reports on an AFOG relevant ISchool final project for the Master of Information Management and Systems (MIMS) program. The project was developed by a student team composed of Samuel Meyer, Shrestha Mohanty, Sung Joo Son, and Monicah Wambugu. Students from the team participated in the AFOG lunch working Read more…
Note: The following is a re-post of AFOG member Shreeharsh Kelkar’s September 25, 2017 post on Scatterplot responding to the controversy over Wang and Kosinski’s (2018) paper about using deep neural networks to recognize “gay” or “straight” faces. At the time of Shreeharsh’s post, Wang and Kosinski’s paper had been Read more…
Welcome to the AFOG Blog! We will use this space to post what we hope are accessible and provocative think pieces and reactions to academic research and news stories. Posts about what? Allow us to use this initial blog post to answer that question and introduce ourselves. Algorithms and computational Read more…