AG-816

Indigenous Data Sovereignty and CARE Principles

Rights, Ethics & Public Interest ~5 min read AGS v2.1 · 2026-06-06
EU AI Act NIST AI RMF ISO 42001

AGS Rights & Public Interest | Rights, Ethics & Public Interest | Version 2.2

1. Definition

Indigenous Data Sovereignty and CARE Principles governs the use by AI agents of data relating to Indigenous peoples — requiring respect for Indigenous authority to control such data, consent and benefit aligned to the CARE principles (Collective benefit, Authority to control, Responsibility, Ethics), and the right of Indigenous communities to refuse or condition AI use of their data and knowledge.

Where FAIR principles address data being findable and reusable, CARE addresses *whose data it is and who decides* — recognising Indigenous peoples' rights of self-determination over data about their communities, lands, and knowledge. This dimension brings agentic data use under that discipline.

2. Scope

In scope: AI use of data about Indigenous peoples, lands, languages, and traditional knowledge; consent/authority, collective benefit, and refusal rights; provenance and governance of such data through the agent's pipeline.

Out of scope: general data protection (covered by Privacy landscapes) where Indigenous-specific rights do not apply. This dimension governs *Indigenous data sovereignty specifically*.

3. Why This Matters

AI systems can extract, aggregate, and exploit Indigenous data and knowledge without consent or benefit to the communities concerned — repeating historical harms at scale and violating self-determination. Traditional consent and IP frameworks often fail to recognise collective Indigenous rights. Embedding CARE-aligned authority, consent, benefit, and refusal into agent data governance prevents extractive use and respects recognised rights.

4. Requirements

5. Maturity Model

6. Test Criteria

Test 6.1: Authority & Consent

Test 6.2: Refusal & Withdrawal

Test 6.3: Provenance Carry

7. Scoring

ScoreCriteria
0Indigenous data used by agents with no CARE-aligned governance
1CARE acknowledged; identification exists but consent/refusal not operationalised
2Authority/consent tracked, refusal/withdrawal honoured, provenance carried, stakeholders engaged
3Documented collective benefit, enforced cultural-use restrictions, end-to-end CARE governance with records

8. Failure Scenarios

Scenario A — Extractive Training: An agent's knowledge base ingests traditional knowledge scraped from public sources without community authority, then commercialises outputs derived from it. CARE authority/consent governance would have prevented unauthorised use.

Scenario B — Ignored Withdrawal: A community withdraws consent, but the data persists in the agent's memory/embeddings and continues to shape outputs. Withdrawal-honouring removal would have respected the decision.

Scenario C — Lost Conditions: Indigenous data supplied under cultural-use conditions is passed downstream without those conditions, and outputs breach a sensitivity restriction. Provenance carrying the conditions would have constrained the outputs.

9. Regulatory Mapping

RequirementEU AI ActNIST AI RMFISO 42001
R1: Identify Indigenous-related dataArt. 10 — Data governanceMAP 1.1 — Purpose and contextA.7 — Data for AI systems
R2: Authority/consentArt. 10 — Data governanceGOVERN 5.1 — External feedbackA.7 — Data for AI systems
R3: Refusal/withdrawal honouredArt. 10 — Data governanceGOVERN 5.2 — Feedback into designA.5 — Impact assessment
R4: Collective benefitArt. 27 — Fundamental-rights impactMAP 5.1 — Impact identificationA.5 — Impact assessment
R5: Provenance carryArt. 10 — Data governance/lineageMEASURE 2.8 — TransparencyA.7 — Data for AI systems
R6: Cultural-use restrictions on outputsArt. 27 — Fundamental-rights impactMAP 5.1 — Impact identificationA.5 — Impact assessment
R7: Stakeholder engagementArt. 27 — FRIA stakeholder inputGOVERN 5.1 — External feedbackClause 4.2 — Interested parties
R8: Consent/decision recordsArt. 12 — Record-keepingGOVERN 2.1 — AccountabilityClause 7.5 — Documented information

EU AI Act — Article 10 and Article 27

Article 10 (data governance) requires appropriate governance of data sources and conditions; Article 27 (fundamental-rights impact assessment) covers impacts on rights-holders, including Indigenous self-determination. AG-816 applies these to Indigenous data via CARE.

NIST AI RMF — MAP 1.1, GOVERN 5.1

MAP 1.1 (purpose/context, incl. norms) and GOVERN 5.1 (collecting and integrating external stakeholder feedback) support CARE-aligned authority and engagement.

ISO 42001 — A.5, A.7

Annex A.5 (assessing impacts on individuals/groups/society) and A.7 (data for AI systems) require governing the impacts and provenance of Indigenous data.

Cite this protocol
AgentGoverning. (2026). AG-816: Indigenous Data Sovereignty and CARE Principles. The Protocols of AI Agent Governance, AGS v2.1. agentgoverning.com/protocols/AG-816