Responsible AIAI Bias and Fairness Assessment
AI bias and fairness assessment evaluates how data, labels, objectives, design choices, and deployment conditions can create uneven errors or harms across groups.
AI privacy governanceAI Data Rights and Deletion
AI data-rights and deletion processes handle access, correction, objection, restriction, portability, and erasure across datasets, models, embeddings, caches, logs, and derived outputs.
AI governanceAI Governance Roles and Accountability
AI governance roles assign decision rights and obligations across executives, business owners, developers, data stewards, security, privacy, legal, risk, and users.
AI transparencyAI Transparency Notices
AI transparency notices tell people when AI is used, what it does, what information it relies on, important limitations, and how to seek review or correction.
Security principleAccountability
Accountability makes people, roles, services, and organizations answerable for security decisions and actions by assigning ownership and preserving reliable evidence.
Privacy engineeringAnonymization and De-identification
Anonymization and de-identification reduce the ability to associate released or shared data with a specific person, while accounting for linkage and re-identification risk.