The AI RMF is intended for voluntary use to address risks in the design, development, use, and evaluation of AI products, services, and systems.
The Playbook includes suggested actions, references, and documentation guidance for stakeholders to achieve the outcomes for “Map” and “Govern”.
This report analyzes the survey results of US consumers, revealing the role of personally identifiable information protections in customer engagement.
This resource helps buyers determine which privacy tools are the most appropriate for their business needs.
This Guidance is intended to help companies better understand the practice ofdark patterns and to implement the highlighted best practices to avoid them.
The Guide to Data as a Critical Asset takes a unique view of data.
Impact-Based Informed Consent: What Privacy Laws Can Learn From the Ethics of Human Subjects Research
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.
This report unpacks the main methods of manipulation that platforms engage in that harm fundamental rights.
The book explores the social, political, and legal implications of the collection and use of personal information in computer databases.