Levi Kaplan’s research involves studying the fairness of various algorithms and social networks, investigating their propensity for bias, discrimination, and other harms. This is accomplished through black-box auditing, among other techniques. PhD student advised by Alan Mislove….Continue Reading Levi Kaplan
Ali Muhammad is interested in identifying and mitigating instances of bias and discriminatory behavior in machine learning algorithms in the wild. He enjoys using methods at the intersection of internet measurement and applied machine learning to answer these questions. PhD student advised by Alan Mislove….Continue Reading Ali Muhammad
Piotr Sapiezynski‘s core work is auditing platforms and their algorithms for fairness and privacy. Together with his collaborators, they investigate systems that are optimized for corporate profit yet drive many aspects of our daily lives. All too often we find these systems have (possibly unintended but often predictable) side effects that bring harm to individuals…Continue Reading Piotr Sapiezynski
Co-PI Alan Mislove testified before the House Subcommittee on Investigations and Oversight of the Science, Space, and Technology Committee on September 28, 2021. The hearing, ” The Disinformation Black Box: Researching Social Media Data” centered on the online spread of misinformation and the urgent need for data transparency and access to social media platform data….Continue Reading Co-PI Mislove testifies before House Subcommittee on social media data