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

  • Machine Learning Lab 2022 Public Lecture with Alan Bovik

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

  • The Power of Adaptivity in Representation Learning: From Meta-Learning to Federated Learning

    Aryan Mokhtari, Assistant Professor, Electrical and Computer Engineering, UT Austin

  • Evaluating AI-based MR image reconstruction models: lessons from the fastMRI project

    Matthew Muckley

  • Clustering Mixtures with Almost Optimal Separation in Polynomial Time

    Allen Liu, graduate student in EECS at MIT.