Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 8, 2026Open Access

From Principles to Practice: Māori Data Sovereignty at the Point of AI System Design

View Full Paper
Ask AI
Bookmark
Share

Authors

TATaylor AmberSentient Science (United States)

Discussion

Loading...

Member takes

Overview

Working paper addresses AI design tensions in Māori data sovereignty, highlighting governance issues.

Key Points

  • Define the problem of integrating Māori data sovereignty within AI system design, focusing on governance.
  • Examined four conditions affecting AI system design: recognised Māori authority, unequal organizational capability, inherited commercial infrastructure, and systemic change.
  • Introduced the concept of governance debt and identified five design-time tensions to resolve.
  • Developed the Governance Translation Layer as a practical response.
  • Identified the structural risk associated with delaying governance until after data relocation.
  • Proposed six normative propositions to guide ethical AI development.
  • Presented a working framework intended for Māori-governed testing and engagement.

Cite This Study

Taylor Amber (2026) studied this question.

synapsesocial.com/papers/6a4de8a7d2ea289ef628346fhttps://doi.org/10.5281/zenodo.21219021
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1He Waka Eke Noa: Navigating AI Futures with Aboriginal and Māori Knowledge2024 · 1 citations
  2. 2Indigenous Data Sovereignty and the Governance of Artificial Intelligence: Toward Equitable Benefit for Indigenous Peoples2026
  3. 3Māori Research Data Governance in New Zealand Universities2026 · 1 citations
  4. 4After Access: Why Data Sovereignty Fails Without Usage Control2026
  5. 5Poipoia Te Kākano Kia Puāwai: The Operationalisation of Māori Data Sovereignty in Aotearoa—A Scoping Literature Review2026 · 4 citations