Web: https://www.youtube.com/watch?v=RcgBNkX0RjE

May 11, 2022, 8:36 p.m. | TensorFlow

TensorFlow youtube.com

Product fairness testing is an essential step for developers as they build ML models responsibly. Discover the key steps you should take to conduct holistic product fairness tests, in addition to understanding both the technical and user-centric societal perspectives you should incorporate into your process. Walk away understanding the end-to-end journey of assessing a dataset of a generative text model from an ML fairness perspective.

Speakers: Cherish Molezion, Qazi Rashid

Watch more:
All Google I/O 2022 Sessions → https://goo.gle/IO22_AllSessions

developers fairness learning machine machine learning product testing

Data & Insights Strategy & Innovation General Manager

@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX

Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis

@ Ahmedabad University | Ahmedabad, India

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC

Senior Data Science Writer

@ NannyML | Remote