Ethics in AI
Mindful of the ethical implications of modern AI and ML research, IFML partners with Good Systems, the UT Grand Challenge that designs AI technologies to benefit society. Together, we work to ensure that research innovation in human-machine partnerships address the needs and values of society.
Cultivating Fairness in AI
The alliance between IFML and Good Systems positions UT Austin to become a hub and training center for public interest technologists with special expertise in the responsible development of good systems that repair, reinforce, and advance our social fabric.
Ethics conversations are integrated into research, education, and outreach programs.
IFML and Good Systems also offer free, public Ethics in AI colloquia consisting of a presentation and discussion. The colloquia offer room for presentation and in-depth discussion with faculty and trainees from IFML and Good Systems. These meetings are used as springboards to develop and engage in collaborative research.
Upcoming Events
-
December6
IFML Seminar: 12/06/24 - Unscripted Grounded Visual Learning
Talk by Stella Yu, Professor of Electrical Engineering and Computer Science University of Michigan
December10Neurips 2024 Tutorial: Beyond Decoding: Meta-Generation Algorithms for Large Language Models
Talk by
December13IFML Seminar: 12/13/24 - Safe and Informative Imaging via Conformal Prediction and Generative Models
Talk by Phil Schniter, Professor, Electrical and Computer Engineering The Ohio State University