Contestability
The person a decision is about can challenge it, and the challenge can change or overturn it. The route is visible to them.
View glossary entry →A dated log of how terms like trustworthy AI and responsible AI drifted from commitments into labels, with stable definitions to cite instead.
Summary
A log of when each governance term lost its enforcement mechanism, with a definition to cite in its place.
Takeaways
Related sections
Why this matters
A term that loses its evidence requirement stops binding anyone.
Contestability terms travel through policy, procurement, and public narratives. When a term like “responsible AI” becomes a label rather than a measurable commitment, people lose the ability to demand remedies. The definitions in this appendix record what each term committed to when it was written, so a citation carries the commitment, not the label.
Timeline
How five accountability terms shifted in policy and practice, 2019 to 2024.
The OECD principles frame trustworthy AI around transparency, robustness, and accountability. The phrase later came to be used as a compliance label, with no route to a remedy attached.
Source: OECD AI PrinciplesIndustry guidance offers responsible AI toolkits, but often names no owner and guarantees no way to challenge a decision. The language moves from shared obligations to internal checklists.
Source: Google responsible AI practicesThe White House Blueprint for an AI Bill of Rights centers notice, explanation, and human alternatives. Enforcement stays discretionary. The word “rights” is used, but no review clock is set and no one is named to answer an escalation.
Source: Blueprint for an AI Bill of Rights (White House archive)The NIST AI RMF sets out governance and accountability functions. Organizations often stop at scoring risk, and publish no evidence that a person can get a decision reversed. The language moves toward accepting risk without the means to remedy it.
Source: NIST AI RMF 1.0The EU AI Act emphasizes transparency, human oversight, and documentation. Without a shared baseline for challenges, an implementation can still leave out the outcomes of challenges and the reversals that someone has to carry out.
Source: EU AI Act overviewThe person a decision is about can challenge it, and the challenge can change or overturn it. The route is visible to them.
View glossary entry →An explanation names who owns the decision, the evidence it used, and how to get it reversed.
View glossary entry →The share of challenges decided in the person's favor. A rate near zero suggests challenges change nothing. A high rate is evidence the rule is wrong, and should send the rule back to its owner.
View glossary entry →The person can see where their case is, what it is waiting on, how long is left, and what would escalate it.
View glossary entry →A named owner can set safeguards and approve reversals.
View glossary entry →Cite this page as an appendix in briefs, audits, and public statements.