I am a researcher specializing in discovering the consequences of computer systems that curate and organize culture. A major theme of my research investigates accountability mechanisms for machine learning and artificial intelligence. My research group coined the phrase “algorithmic auditing” in a 2014 paper; this was subsequently made suggested reading for submissions to the first ACM FAccT (Fairness, Accountability, and Transparency) Conferences. My work on algorithms and accountability was recommended by the White House Office of Science and Technology Policy in 2016 as one of five research strategies essential to the future of big data technologies in the US. I was the named plaintiff of a multi-year lawsuit against the federal government on behalf of computing researchers and journalists; this lawsuit changed the legal definition of “hacking” in the United States in 2022. I have also published research about social media, wireless systems, broadband Internet, online video, domain names, and Internet policy. My group blog about social media platforms was named one of the “Must-Follow Feeds” in science by Wired magazine.
COntact
WebsiteLocation
Ann Arbor
Methodologies
Computing / Data Visualization / Machine Learning
Applications