Learn How to Confront Racial and Gender Bias in AI

Complimentary two-part series on the ethical implications of AI.

You'll hear from Will Griffin, Hypergiant Industries' Chief Ethics Officer, with thought leadership from UT Austin's Good Systems, Oxford Saïd Business School, AI Truth and more.

Part 1: Confronting Racial and Gender Bias in AI

Humans are inherently biased and it easily finds its way to the data. If machine learning-based systems are only as good as the data it's trained on, how do you confront racial and gender bias in artificial intelligence?

Will Griffin, Chief Ethics Officer, Hypergiant Industries
S. Craig Watkins, Founding Director, Institute for Media Innovation & Good Systems Social Justice Research Director, University of Texas Good Systems
Dr. Sally Eaves, CEO, CTO, Advisor & Prof at Oxford Saïd Business School
Jevan Hutson, Incoming Associate, Cyber, Privacy, & Data Innovation, Orrick, Herrington, & Sutcliffe LLP