The AI RMF is intended for voluntary use to address risks in the design, development, use, and evaluation of AI products, services, and systems.
This report analyzes the survey results of US consumers, revealing the role of personally identifiable information protections in customer engagement.
This paper argues that traditional privacy law has a great deal to learn from the guidelines for informed consent that applies in federally funded biomedical and behavioral research.
This publication provides a set of procedures for conducting assessments of security and privacy controls employed within systems and organizations.
The book explores the social, political, and legal implications of the collection and use of personal information in computer databases.