Andrea Matwyshyn
Colleges / Universities: Penn State University
Artificial Intelligence and Machine Learning
Description:
Artificial intelligence (AI) & Machine Learning (ML) refers to technologies that perceive, learn and reason in ways that simulate human cognitive abilities. TAP scholars consider AI’s effects on labor, business, policing, law, medicine, war, free speech, privacy and democracy, and discuss potential solutions to mitigate harms.
AI & ML Scholars
Anne L. Washington
Colleges / Universities: New York University
Braden Allenby
Colleges / Universities: Arizona State University
danah boyd
Colleges / Universities: Microsoft New England Research & Development Center
Recent AI & ML Blog Posts
Recent AI & ML Academic Article Summaries
Quotes in the News
Crawford, K. (2022, June 15). France 24.“We've had chatbots like this for many decades. And while they can seem intelligent, if you're conducting a conversation with them, they are in fact just trained on large amounts of text that's drawn primarily from the internet.”
Kate Crawford
TAP Scholar
Research Professor of Communication and STS
Senior Principal Researcher at Microsoft Research, NYC
Annenberg School for Communication and Journalism
University of Southern California
Goldman, E. (2022, March 25). Radio France Internationale (RFI).“One of the most well-known problems with facial recognition technology is that it's not perfect, and it will make errors and in some cases those misidentifications can be life changing.”
Eric Goldman
TAP Scholar
Co-Director, Santa Clara High Tech Law Institute
Professor of Law
School of Law
Santa Clara University
Katyal, S. (2022, January 28). Los Angeles Times.“Corporate and government actors have pushed to transform the law of trade secrecy into one of the most — if not the most — powerful tools to ensure concealment of information.”
Sonia Katyal
TAP Scholar
Roger J. Traynor Distinguished Professor of Law
Co-Director, Berkeley Center for Law & Technology
Co-Director, Berkeley Center for Law & Technology
School of Law
University of California, Berkeley
Acemoglu, D. (2022, January 20). The New York Times.“Automation-fueled inequality is not an act of God or nature, it’s the result of choices corporations and we as a society have made about how to use technology.”
Daron Acemoglu
TAP Scholar
Institute Professor
Department of Economics
Massachusetts Institute of Technology
Crawford, K. (2021, November 18). Architectural Digest.“Current artificial intelligence systems have been shown to widen asymmetries of power along the lines of gender, race, and economic status.”
Kate Crawford
TAP Scholar
Research Professor of Communication and STS
Senior Principal Researcher at Microsoft Research, NYC
Annenberg School for Communication and Journalism
University of Southern California
