Version 1
: Received: 27 October 2024 / Approved: 27 October 2024 / Online: 28 October 2024 (11:10:04 CET)
How to cite:
Ray, S. Incorporating Indigenous Knowledge Systems into AI Governance: Enhancing Ethical Frameworks with Maori and Navajo Perspectives. Preprints2024, 2024102112. https://doi.org/10.20944/preprints202410.2112.v1
Ray, S. Incorporating Indigenous Knowledge Systems into AI Governance: Enhancing Ethical Frameworks with Maori and Navajo Perspectives. Preprints 2024, 2024102112. https://doi.org/10.20944/preprints202410.2112.v1
Ray, S. Incorporating Indigenous Knowledge Systems into AI Governance: Enhancing Ethical Frameworks with Maori and Navajo Perspectives. Preprints2024, 2024102112. https://doi.org/10.20944/preprints202410.2112.v1
APA Style
Ray, S. (2024). Incorporating Indigenous Knowledge Systems into AI Governance: Enhancing Ethical Frameworks with Maori and Navajo Perspectives. Preprints. https://doi.org/10.20944/preprints202410.2112.v1
Chicago/Turabian Style
Ray, S. 2024 "Incorporating Indigenous Knowledge Systems into AI Governance: Enhancing Ethical Frameworks with Maori and Navajo Perspectives" Preprints. https://doi.org/10.20944/preprints202410.2112.v1
Abstract
This paper proposes a paradigm shift in AI governance by integrating Indigenous knowledge systems to foster inclusivity and cultural sensitivity. Traditional AI governance frameworks are primarily Western-centric, often overlooking the community-oriented values and ethical considerations essential to Indigenous cultures. This study highlights principles such as Kaitiakitanga from Māori culture, which emphasizes guardianship and environmental stewardship, and Hózhó from Navajo philosophy, which stresses harmony and balance. By engaging Indigenous leaders and knowledge holders throughout the AI lifecycle, this approach ensures technology aligns with community values, addressing critical issues like data sovereignty, ethical technology use, and cultural sensitivity. This paper underscores the necessity of relational accountability in AI governance, which includes prioritizing the health of ecosystems alongside community welfare. This model advocates for an AI framework that not only rectifies historical marginalization but also empowers Indigenous communities to shape the technologies affecting their lives. Furthermore, integrating Indigenous perspectives strengthens the ethical foundation of AI systems, advancing sustainability, social justice, and cultural responsiveness in technology applications. The proposed framework illustrates how Indigenous ethical concepts can transform AI governance by aligning technological progress with values of ecological stewardship and community welfare, creating an AI landscape that respects and reflects diverse cultural contexts. Ultimately, this research demonstrates that Indigenous knowledge systems can significantly enhance AI’s effectiveness and equity, paving the way for more sustainable and culturally attuned technological solutions.
Keywords
Indigenous Knowledge Systems; AI Governance; Ethical Frameworks; Māori Perspectives; Navajo Perspectives; Community Engagement; Environmental Stewardship; Data Sovereignty; Cultural Sensitivity; Relational Accountability; Kaitiakitanga, Hózhó; Stakeholder Engagement; Social Justice; Sustainable Technology; Ethical AI Practices; Capacity Building; Community Welfare; Ecological Balance; Technology Development; Inclusivity; Historical Injustices; Communal Knowledge; Collective Rights
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
