From Stacks to Circuits: A Regenerative Socio-Technical Roadmap for AI Infrastructure within Planetary Boundaries
スタックからサーキットへ：惑星境界内でのAIインフラのための再生型社会技術ロードマップ (AI 翻訳)
Han-Teng Liao, Karen Ang
🤖 gxceed AI 要約
日本語
生成AIの拡大に伴う環境負荷（Scope3排出、電子廃棄物）に対し、IEEE IRDSの持続可能性基準を統合した「再生型社会技術ロードマップ」を提案。資源節約と惑星アカウンタビリティに基づく新しいアーキテクチャが、デジタル循環経済における規制対応と産業レジリエンスを可能にする。
English
This paper proposes a regenerative socio-technical roadmap for AI infrastructure that addresses Scope 3 emissions and e-waste by integrating IEEE IRDS sustainability considerations. It reframes AI as a system-of-systems governed by planetary boundaries, offering an alternative to Nvidia-centric roadmaps and enabling regulatory compliance in a digital circular economy.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではAIデータセンターの電力・資源消費が急増しており、本ロードマップはScope3対応や廃棄物管理の枠組みとして参考になる。特に半導体製造のサステナビリティ基準（IEEE IRDS）との連携は、日本の半導体戦略にも示唆を与える。
In the global GX context
As AI infrastructure scales globally, this roadmap provides a framework for aligning data center growth with planetary boundaries, addressing regulatory pressures like the EU CSRD and emerging Scope 3 disclosure mandates. The paper's integration of semiconductor sustainability metrics (IEEE IRDS) offers a practical guide for industrial resilience.
👥 読者別の含意
🔬研究者:Offers a systems-level framework for studying AI's environmental footprint and circular economy integration.
🏢実務担当者:Provides actionable pathways for embedding sustainability into AI infrastructure planning, especially Scope 3 and e-waste management.
🏛政策担当者:Highlights regulatory gaps in current AI roadmaps and suggests planetary-boundary-aligned compliance strategies.
📄 Abstract（原文）
Current scaling trajectories for Generative AI, typified by linear supply-side "stacks," prioritize performance density while externalizing significant thermodynamic and material costs. As the "Twin Transition" of green and digital transformation accelerates, the industry faces technology gaps - including Scope 3 emissions and e-waste recycling - that impede sustainable scaling and lead to social tensions. This study proposes a Regenerative Socio-Technical roadmap that repurposes the Sustainable Production and Consumption system map to reframe artificial intelligence infrastructure as a system-of-systems governed ultimately by planetary limits. By integrating the Institute of Electrical and Electronics Engineers International Roadmap for Devices and Systems (IEEE IRDS) sustainability considerations for semiconductor facilities, the study proposes a metabolic circuit framework that centers "Values and Needs" within production and consumption relationship loops. This study identifies critical gaps in current Nvidia-centric roadmaps and proposes a competing reference architecture. It demonstrates how a spontaneous order of resource parsimony and planetary accountability can provide an actionable pathway for regulatory compliance and industrial resilience in the digital circular economy.
🔗 Provenance — このレコードを発見したソース
- arXiv https://arxiv.org/abs/2606.10544first seen 2026-06-10 04:10:58
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