Glossary term
Glossary term
Governance and Compliance
AI that can be relied on in context because it demonstrates appropriate levels of validity, reliability, safety, security, resilience, accountability, transparency, explainability, privacy, and fairness. Trustworthiness is contextual: a chatbot, fraud model, hiring tool, and medical triage model require different assurance depth, evidence, and human oversight thresholds.
NIST AI RMF defines seven trustworthy AI characteristics including valid and reliable, safe, secure and resilient, accountable and transparent, explainable and interpretable, privacy-enhanced, and fair with harmful bias managed.
The EU High-Level Expert Group on AI published Ethics Guidelines for Trustworthy AI (2019) with seven requirements adopted into the EU AI Act risk framework.
IBM's Trustworthy AI toolkit includes open source libraries AI Fairness 360, AI Explainability 360, and Adversarial Robustness Toolbox, all hosted by the Linux Foundation.