Trustworthy AI refers to AI systems designed, developed, and deployed in ways that support reliability, safety, accountability, fairness, transparency, privacy, and human oversight. The term is often used in governance frameworks to describe AI that can be responsibly relied upon in its intended context.
The NIST AI RMF defines trustworthiness in AI as 'responsive[ness] to a multiplicity of criteria that are of value to interested parties.' It specifies that such values include 'valid and reliable, safe, secure and resilient, accountable and transparent, explainable and interpretable, privacy-enhanced, and fair with harmful bias managed.' The White House Voluntary Commitments specify that 'trust,' together with 'safety' and 'security,' comprise the 'three principles that must be fundamental to the future of AI.'