May 12, 2022, 4:32 p.m. | TensorFlow

TensorFlow www.youtube.com

From startups to corporations across industries, organizations are creating AI principles and ethics review processes to complement technical approaches to developing ML and AI responsibly. Listen to emerging socio-technical practices, ML tools, and lessons learned from Google’s ethics review teams who support developers as they build products.

Resource:
TensorFlow website → https://goo.gle/3KejoUZ

Speakers: Madeleine Elish, Jen Gennai

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 technical sessions → …

ai developer processes responsible ai review

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

Alternant Data Engineering

@ Aspire Software | Angers, FR

Senior Software Engineer, Generative AI

@ Google | Dublin, Ireland