NIST AI RMF, MeasureMEASURE 2.9

When a consumer requests access to your use of ADMT to make a significant decision, respond with a plain-language explanation of the specified information about that use

Provide the system so the assigned overseers can correctly interpret its output.

If you are the deployer of a high-risk AI system listed in Annex III, other than the Annex III point 2 critical-infrastructure use case, and your decision based on the system's output produces a legal effect, or similarly significantly affects a person in a way they consider to adversely impact their health, safety or fundamental rights, give that person, on request, a clear and meaningful explanation of the AI system's role in the decision-making procedure and the main elements of the decision.

Where such a system's output feeds a decision that could affect a person's rights, the user must publish or otherwise supply plain-language information about the system and, on request from an affected person, explain free of charge how that person's result was reached.

Where a high-risk AI system's decision affects a person's human rights, explain the result to the affected user in accessible language, covering the criteria and factors the decision relied on.

Establish and carry out a plan to explain, so far as technically feasible, your AI's final output, the main criteria it used to reach that output, and an overview of the training data you used to develop or use it.

Provide any information or documentation a market surveillance or notifying authority requests under Article 21 or Article 45, carry out or update the fundamental rights impact assessment Article 27 requires, and give an affected person the explanation Article 86 requires when you operate a high-risk AI system for one of the purposes Annex III lists: failing to do so can carry a German administrative fine of up to 50,000 euros, separate from the Regulation's own fines.

Inform the works council of the parameters, rules, and instructions on which any algorithm or AI system that affects decisions on working conditions, access to employment, or continued employment is based, including any profiling, per Estatuto de los Trabajadores Article 64.4.d).

Give the person an explanation of the key factors and criteria that influenced the decision, without disclosing the algorithm, source code or a legally protected secret.

If you profile a Minnesota consumer's data for a decision with legal or similarly significant effect, be prepared to answer the consumer's questions about why the profiling reached that result and what they could have done differently, not merely to honor an opt-out request.