Relational Futures: Indigenous Sovereignty and the Governance of Artificial Intelligence (AI)
Macquarie University (2026), 30 pp.
Contains bibliogr. p. 30
"Artificial intelligence must be governed as a relational and institutional force, not simply a technical system. Effective policy requires Indigenous leadership, enforceable standards, and a commitment to sovereignty, accountability, and community wellbeing. Failure to act risks embedding inequality into the foundations of Australia’s digital future." (Key message, page 29)
"Key Recomendations:
• Establish Indigenous leadership in AI governance through formal decision-making roles and regulatory participation.
• Embed Indigenous Data Sovereignty in all AI systems, including consent, control, and community governance of data.
• Strengthen regulation of high-risk AI, particularly in health, policing, and social services.
• Protect Indigenous cultural knowledge from extraction, misuse, and unauthorised inclusion in AI systems.
• Set clear limits on the use of AI in care and relational contexts, ensuring human accountability remains central." (Page 10)
• Establish Indigenous leadership in AI governance through formal decision-making roles and regulatory participation.
• Embed Indigenous Data Sovereignty in all AI systems, including consent, control, and community governance of data.
• Strengthen regulation of high-risk AI, particularly in health, policing, and social services.
• Protect Indigenous cultural knowledge from extraction, misuse, and unauthorised inclusion in AI systems.
• Set clear limits on the use of AI in care and relational contexts, ensuring human accountability remains central." (Page 10)
Executive Summary, 8
Introduction, 11
A Snapshot of the Literature, 12
Methodology, 16
Findings, 18
Discussion, 24
Conclusion: Relational Futures, 25
Priority Actions, 28
Introduction, 11
A Snapshot of the Literature, 12
Methodology, 16
Findings, 18
Discussion, 24
Conclusion: Relational Futures, 25
Priority Actions, 28
