NIST AI RMF APPLICATION DATA GOVERNANCE INFRASTRUCTURE

Stakeholder engagement

Part of: GV: GOVERN — Policies, Accountability & Culture

Description

Organizational practices are in place to enable AI deployment and ongoing use with input from affected communities and stakeholders. The people most impacted by AI systems are often the least consulted.

Suggested Actions

1

Identify and map all AI system stakeholders including end users, affected individuals (people whose data is used or who receive AI-generated decisions), regulators, and civil society organizations

2

Establish stakeholder consultation mechanisms for AI design and deployment decisions — use focus groups, public comment periods, or advisory boards depending on system risk level

3

Create accessible feedback channels for users and affected parties to report concerns, contest AI decisions, and request human review

4

Document and respond to stakeholder input in AI governance decisions — stakeholder engagement without follow-through is performative

5

For high-risk AI systems (hiring, lending, healthcare), conduct impact assessments with input from communities that will be most affected

6

Publish transparency reports describing AI system use, performance metrics, and stakeholder feedback received and acted upon

Related Controls

AI Acceptable Use Policy