Session

Operationalizing Responsible AI 21

This panel explores how organizations can go beyond a general desire to be ethical in their use of ML/AI to building transparency, accountability, fairness, anti-bias, etc. into their ML pipelines and practices in a systematic and sustainable way.

Session Speakers

Principal Architect, Ethical AI Practice
Salesforce
Responsible AI Leader, Azure Cognitive Services
Microsoft
Head of Consumer AI
LinkedIn
Research Scientist & Sr. Software Engineer
LinkedIn

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