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

Upcoming Events

Previously Recorded Talks

  • AIHealthTalk: 3/20/24 - How LLMs Might Help Scale World Class Healthcare to Everyone

    Vivek Natarajan, Research Scientist, Google Health

  • AIHealthTalk : 4/10/24 - Towards Digital Twins for Cardiovascular Health: From Clinical To Remote

    Bobak Mortazavi, Associate Professor, Texas A&M University

  • IFML Seminar: 4/5/24 - Robustness in the Era of LLMs: Jailbreaking Attacks and Defenses

    Hamed Hassani, Associate Professor, The University of Pennsylvania

  • AIHealthTalk : 3/27/24 - Shaping the Creation and Adoption of Large Language Models in Healthcare

    Nigam Shah, Professor, Stanford University