A Q&A with Good Systems symposium keynote speaker Helen Nissenbaum, a leading authority on privacy who devised the theory of contextual integrity (CI), a philosophical maxim that redefined privacy as the appropriate flow of information

Dr. Trace’s teaching and research explored the history of the information professions and the intersection of archival work with emerging and cutting-edge technologies. Her recent work with Good Systems, a UT Grand Challenge, investigated information governance practices on algorithmic accountability and her current research project investigated information governance issues around smart camera use. Dr. Trace’s particular interest in the written record as a tool for accountability and transparency informed the development of a teaching curriculum that reimagined and prepared the informational professional for the digital age.

Computer science professor Swarat Chaudhuri, explains how bias seeps into artificial intelligence systems.

Industry professionals discussed the ways artificial intelligence is falsely portrayed in the media and the ethics of becoming an AI-dependent society in a Feb. 21 roundtable.

A Texas Career Engagement panel, cohosted with Good Systems, discussed the implications and integration of artificial intelligence in the workplace on Feb. 8.

An interview with two of Good Systems’ experts on data privacy, both from UT’s School of Journalism and Media: Sharon Strover, former chair of the Good Systems Executive Team, and Amy Kristin Sanders, who is also an associate professor (by courtesy) at the School of Law

UT designated 2024 as the “Year of AI” to highlight the University’s achievements in artificial intelligence research and to set the stage for future developments.

On a Tuesday night last February, New York Times technology writer Kevin Roose sat down to experiment with an early version of the artificial intelligence (AI) chatbot from Microsoft search engine Bing. Roose wanted to test the limits of the chatbot’s programming by asking questions most users wouldn’t.

UT Austin's Luis Sentis is leading a landmark study of how robots make us feel—and setting the standards for how autonomous machines will share our spaces.

In the specialized world of welding, where sparks fly and metal literally melts, the marriage of artificial intelligence and human craftsmanship is revolutionizing the landscape. "Making Smart Tools Work for Everyone" — one of Good Systems’ six core research projects — is focusing on empowering workers with the aid of smart hand tools and challenging the prevailing narrative of job loss due to automation.