Data bias: AI fairness and the need for diversity in privacy/data/AI governance
Contributors:
Alexandra Ebert
Chief Trust Officer
MOSTLY AI
Wioletta Kulinska
AIGP, CIPP/E, CIPP/US, CIPM
Attorney at law (EU) / Global Privacy and Compliance Leader
Kulinska Legal
Angela Noguera
CIPP/E
Data Privacy Consultant
Independent Consultant
This web conference was produced by the IAPP Women Leading Privacy section.
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.
Submit for CPEsContributors:
Alexandra Ebert
Chief Trust Officer
MOSTLY AI
Wioletta Kulinska
AIGP, CIPP/E, CIPP/US, CIPM
Attorney at law (EU) / Global Privacy and Compliance Leader
Kulinska Legal
Angela Noguera
CIPP/E
Data Privacy Consultant
Independent Consultant
