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This study proposes integrating Indigenous sustainability models and traditional ecological knowledge into cloud computing policy. It advocates for earth-friendly computation practices to reduce energy waste and electronic waste.

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Area of Science:

  • Environmental Science
  • Computer Science
  • Indigenous Studies

Background:

  • Advancements in Artificial Intelligence (AI) and data center infrastructure have intensified discussions on cloud computing's energy consumption and environmental impact.
  • Current data center policies prioritize economic growth, leading to unsustainable practices, significant energy waste, and heat generation.

Purpose of the Study:

  • To propose the development of policies for earth-friendly computation practices.
  • To integrate Indigenous models of circular sustainability and traditional ecological knowledge (TEK) into data center infrastructure and policy.
  • To explore how these practices can align with Solarpunk visions for a sustainable technological future.

Main Methods:

  • Analysis of current data center policies and their environmental impact.
  • Research into Indigenous models of sustainability, specifically aloha 'āina (love for the land).
  • Examination of traditional ecological knowledge (TEK) for application in sustainable technology.
  • Conceptualization of integrating TEK with Solarpunk aesthetics and principles.

Main Results:

  • Identification of current data center policies as inherently unsustainable due to a focus on resource extraction and economic gain.
  • Discovery of traditional ecological knowledge (TEK) and Indigenous circular systems as viable frameworks for sustainable computation.
  • Conceptualization of a future where technology harmonizes with the environment, emphasizing e-waste reuse and improved data life cycles.

Conclusions:

  • Current cloud computing infrastructure and policies require a fundamental shift towards sustainability.
  • Indigenous values and traditional ecological knowledge offer valuable, time-tested models for creating circular and sustainable systems.
  • Adopting these earth-friendly computation practices can lead to a future where technology and environmental well-being are mutually supportive, addressing e-waste and energy concerns.