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

TensorFlow www.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
ML/AI …

developers fairness learning machine machine learning product testing

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Management Associate

@ EcoVadis | Ebène, Mauritius

Senior Data Engineer

@ Telstra | Telstra ICC Bengaluru