---
title: "Trustworthy AI"
description: "A banner used by other people's frameworks, notably the EU High-Level Expert Group and NIST, whose seven trustworthy characteristics make it concrete."
canonical: https://aigovernanceengineer.com/glossary/trustworthy-ai
author: "Jorge García Aibar"
license: "CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)"
doi: https://doi.org/10.5281/zenodo.22956197
version: "0.5.0"
updated: 2026-09-24
---

# Trustworthy AI

A banner used by other people's frameworks, notably the EU High-Level Expert Group [1] and NIST, whose seven trustworthy characteristics make it concrete [2]. This book cites it rather than adopting it: the discipline is measured by realised risk reduction and evidence, not by the label.

- Developed in: [ch. 22, EU HLEG guidelines and ALTAI](https://aigovernanceengineer.com/bok/principles-and-standards#eu-hleg-guidelines-and-altai)
- Chapters: [ch. 01, Definition](https://aigovernanceengineer.com/bok/definition) · [ch. 22, Principles & Standards](https://aigovernanceengineer.com/bok/principles-and-standards)
- Contrast with: [AI governance engineering](https://aigovernanceengineer.com/glossary/ai-governance-engineering) · [Responsible-AI principle set](https://aigovernanceengineer.com/glossary/responsible-ai-principle-set)
- In the glossary chapter: https://aigovernanceengineer.com/bok/glossary#t-trustworthy-ai

## Sources

[1] Ethics Guidelines for Trustworthy AI (four ethical principles; seven requirements; human-in-the-loop, human-on-the-loop and human-in-command oversight). High-Level Expert Group on AI / European Commission. 2019-04-08. https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai (verified: primary)
[2] Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1 (risk tolerance and residual risk; seven trustworthy characteristics; transparency answers "what happened", explainability "how", interpretability "why"; MAP 1.1 intended purposes; MANAGE 1.1 go/no-go determination; profiles). NIST. 2023-01-26. https://doi.org/10.6028/NIST.AI.100-1 (verified: primary)
