"Designing Against Discrimination On Tech Platforms": talk presented by Solon Barocas
Cost: $10 donation appreciated (goes to cost of running the meetup, food, drinks, etc!) Feel free to pay through meetup or cash at the door.
Talk Description: Platforms that connect people for transportation, employment, housing, dating and more have flourished on the Internet. But people don’t come online as blank slates; they often bring their prejudices and biases with them. Platforms' design and policy choices can influence how much users end up discriminating against one another in these interactions.
Online platforms exercise a great deal of control as to how users interact and how their encounters are structured. Who gets matched for dates on Tinder? What information do rider and drivers get about each other on Uber? How do platforms, broadly, signal reliability or reputation?
In this presentation, Solon will analyze ten different design and policy choices through which platforms make themselves more or less vulnerable to discrimination by users. How do the decisions made by these platforms perpetuate, exacerbate, or alleviate discrimination in the contemporary economy?
7-715 Meet & Greet[masked] Talk, Q&A
830-9 Happy 1/2 Hour
Solon Barocas is Assistant Professor in the Department of Information Science at Cornell University. He is also a Faculty Associate at the Berkman Klein Center for Internet & Society at Harvard University. His research explores ethical and policy issues in artificial intelligence, particularly fairness in machine learning, methods for bringing accountability to automated decision-making, and the privacy implications of inference. He co-founded the annual workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML) and later established the ACM conference on Fairness, Accountability, and Transparency (FAT*)