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.

Find out more about Good Systems

Previously Recorded Talks

  • 2023 Machine Learning Lab Public Lecture with Scott Aaronson

    Scott Aaronson, theoretical computer scientist and David J. Bruton Jr. Centennial Professor of Computer Science, UT Austin

  • Machine Learning Lab 2022 Public Lecture with Alan Bovik

    Alan Bovik, Director, Laboratory for Image & Video Engineering, Machine Learning Lab, UT Austin

  • IFML Public Lecture: AI for Accurate and Fair Imaging

    Alex Dimakis, IFML and MLL co-director

  • Data Analytics and ML for Subsurface Engineering and Geoscience

    Michael Pyrcz