Data bias: AI fairness and the need for diversity in privacy/data/AI governance
Published: 23 Oct. 2023
Women Leading Privacy section web conference
This web conference explores the dangers of data bias in the AI era, fairness in data protection versus fairness in AI models, how to avoid bias and discrimination, and opportunities with synthetic data and the need for diversity.
Data bias: AI fairness and the need for diversity in privacy/data/AI governance
This content is eligible for Continuing Professional Education credits. Please self-submit according to CPE policy guidelines.
Contributors:
Alexandra Ebert
Chief Trust Officer, MOSTLY AI
Wioletta Kulinska
Attorney at law (EU) / Global Privacy and Compliance Leader, Kulinska Legal
AIGP, CIPP/E, CIPP/US, CIPM
Angela Noguera
Data Privacy Consultant, Independent Consultant
CIPP/E
Tags:
Data bias: AI fairness and the need for diversity in privacy/data/AI governance
Published: 23 Oct. 2023
Contributors:
Alexandra Ebert
Chief Trust Officer, MOSTLY AI
Wioletta Kulinska
Attorney at law (EU) / Global Privacy and Compliance Leader, Kulinska Legal
AIGP, CIPP/E, CIPP/US, CIPM
Angela Noguera
Data Privacy Consultant, Independent Consultant
CIPP/E
Women Leading Privacy section web conference
This web conference explores the dangers of data bias in the AI era, fairness in data protection versus fairness in AI models, how to avoid bias and discrimination, and opportunities with synthetic data and the need for diversity.
Data bias: AI fairness and the need for diversity in privacy/data/AI governance
This content is eligible for Continuing Professional Education credits. Please self-submit according to CPE policy guidelines.
Tags:
Related resources
IAPP Global Legislative Predictions 2026
US State Privacy Legislation Tracker
