Work

Indigenous Data Sovereignty and the Governance of Artificial Intelligence: Toward Equitable Benefit for Indigenous Peoples

Year: 2026

Type: article

Abstract: This article argues that artificial intelligence (AI) will not benefit Indigenous peoples equitably unless grounded in Indigenous data sovereignty and Indigenous governance of AI systems. In Australia and comparable nation-states, data ecosystems have long served as instruments of colonial control, determining what knowledges are valued, how people are categorized, and who benefits. As AI systems are built upon these foundations, they risk deepening and automating colonial logics. Indigenous data sovereignty offers a powerful counter framework, asserting the rights of Indigenous peoples to govern the creation, interpretation, and use of data concerning themselves, their communities, and their lands. This article examines how applying Indigenous governance to data and AI systems could alleviate unintended harms and create more equitable benefits within digital technologies. Rather than treating AI as neutral or benevolent, it is positioned as a contested domain where Indigenous resurgence confronts colonial continuity, advancing governance frameworks enabling just, accountable, and equitable futures.

Source: Journal of Sociology

DOI: 10.1177/14407833261460137

Authors: Jacob Prehn (Worimi), Bronwyn Carlson (Aboriginal), Maggie Walter (Palawa), Ray Lovett (Wongaibon/Ngiyampaa), Bobby Maher (Yamatji, Noongar, Kija)

Institutions: University of Tasmania, Macquarie University, Australian National University

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Reduced inequalities, Peace, justice, and strong institutions

Open Access status: hybrid

Estimated APC paid: $3,650