Trustworthiness

A policy concept framing AI systems’ compliance with ethical principles, safety requirements, transparency, accountability, and respect for fundamental rights. The Plan promotes mainstreaming ethical guidelines, risk assessments, safety measures and transparency practices to build public trust and ensure lawful, rights-respecting AI deployment.

A composite quality of an AI system covering transparency, explainability, controllability, reliability, safety, security and privacy that enables appropriate human oversight and stakeholder confidence. The Code frames trustworthiness as the objective of organisational, technical and lifecycle controls to ensure predictable, accountable and acceptable AI behaviour.

The ability of an AI system to meet stakeholder expectations in a verifiable way, encompassing safety, security, privacy, and reliability.