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Trustworthy AI

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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
Chapters
ch. 01, Definition · ch. 22, Principles & Standards
Contrast with
AI governance engineering · Responsible-AI principle set
Source
2 numbered references, listed below

Where it is used

4 chapters of the Body of Knowledge use the term. Each link opens the first section that does.

  • ALTAI

    The Assessment List for Trustworthy AI, published by the EU High-Level Expert Group on AI in July 2020: a self-assessment checklist that turns the seven…

  • Trustworthy characteristics (NIST)

    The seven characteristics of trustworthy AI in the NIST AI RMF: valid and reliable; safe; secure and resilient; accountable and transparent; explainable and…

  • Realised risk reduction

    The measured drop in a named failure mode's rate or blast radius in production; one of the two tests of the discipline, against framework coverage.

Sources

  1. [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. [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)

Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .

Cite this term

García Aibar, J. (2026). Trustworthy AI. In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0), Glossary. https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/glossary/trustworthy-ai. CC BY 4.0

BibTeX

@misc{aige2026trustworthyai,
  author  = {Jorge García Aibar},
  title   = {{Trustworthy AI}},
  note    = {Glossary, AI Governance Engineering: The Thesis \& Body of Knowledge, version 0.5.0},
  year    = {2026},
  doi     = {10.5281/zenodo.22956197},
  url     = {https://aigovernanceengineer.com/glossary/trustworthy-ai}
}