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AI, a Privacy Odyssey: Conducting Privacy Assessments on AI Projects

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Contributors:

Carolyn Metnick

CIPP/E, CIPP/US

Partner

Sheppard, Mullin, Richter & Hampton

Nishant Bhajaria

AIGP

Technical Privacy Expert, Author of “Data Privacy: a runbook for engineers”

Dave Cohen

CIPP/E, CIPP/US

Director

Myna Partners

Join this interactive session to walk through an example AI project aimed at mitigating the spread of COVID-19 and learn the process, including the basics of AI, what questions to ask, including about racial and other bias, what laws might apply, how to conduct a privacy impact assessment, and how to assist with privacy engineering solutions. This session is designed to give you practical skills and resources that you can apply in real-time at work. You will hear from an in-house legal privacy leader, a privacy architect at a major tech company, and a partner at a large firm who will bring their real-world experience to guide you through this mock privacy review.

AI, a Privacy Odyssey: Conducting Privacy Assessments on AI Projects

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Contributors:

Carolyn Metnick

CIPP/E, CIPP/US

Partner

Sheppard, Mullin, Richter & Hampton

Nishant Bhajaria

AIGP

Technical Privacy Expert, Author of “Data Privacy: a runbook for engineers”

Dave Cohen

CIPP/E, CIPP/US

Director

Myna Partners

Tags:

AI and machine learningPrivacy engineeringTesting and evaluationEU AI ActAI governance

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