Uploaded May 2022 | Updated September 2026, 1 week ago
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 at I/O 2022 playlist → https://goo.gle/IO22_ML-AI
All Google I/O 2022 workshops → https://goo.gle/IO22_Workshops
Product Fairness Testing for Developers → https://goo.gle/3l2jBzw
Subscribe to TensorFlow → https://goo.gle/TensorFlow
#GoogleIO
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 at I/O 2022 playlist → https://goo.gle/IO22_ML-AI
All Google I/O 2022 workshops → https://goo.gle/IO22_Workshops
Product Fairness Testing for Developers → https://goo.gle/3l2jBzw
Subscribe to TensorFlow → https://goo.gle/TensorFlow
#GoogleIO
