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Earth Friendly Computation: Applying Indigenous Data Lifecycles in Medical and Sovereign AI.

Keolu Fox¹, Krystal Tsosie², Alex Ioannidis³

¹University of California San Diego, United States.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

|December 13, 2024

Summary

This study explores Earth-Friendly Computation, integrating Indigenous Data Sovereignty, circular systems, and Solarpunk solutions for sustainability. It also examines Artificial Intelligence (AI) in point-of-care healthcare for a sustainable revolution.

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Area of Science:

Environmental Science and Sustainability
Computer Science and Artificial Intelligence
Indigenous Studies and Data Governance

Background:

Growing need for sustainable computational practices.
Emerging intersection of technology, Indigenous rights, and ecological principles.
Potential of AI to revolutionize healthcare delivery.

Purpose of the Study:

To explore innovative approaches to Earth-Friendly Computation.
To investigate the integration of Indigenous Data Sovereignty and circular systems.
To examine the role of AI in sustainable, edge-based healthcare.

Main Methods:

Literature review and conceptual analysis.
Case study exploration of Solarpunk principles.
Analysis of AI applications in point-of-care settings.

Main Results:

Identified key frameworks for sustainable computing.
Highlighted the importance of Indigenous Data Sovereignty in ecological solutions.
Demonstrated AI's potential for decentralized, sustainable healthcare.

Conclusions:

Earth-Friendly Computation offers a pathway to a sustainable future.
Interdisciplinary approaches are crucial for addressing complex environmental and social challenges.
AI and Indigenous knowledge systems can synergize for impactful solutions.