Artificial Intelligence and the Future of Climate Accountability Through Sports
人工知能とスポーツを通じた気候説明責任の未来 (AI 翻訳)
D. Hall
🤖 gxceed AI 要約
日本語
本エッセイは、AIを活用したカーボンインテリジェンスプラットフォームをスポーツ業界に導入することを提案する。このプラットフォームは、輸送ネットワーク、スタジアム運営、イベントサプライチェーンのデータをリアルタイムで分析し、排出量の追跡・予測・削減を可能にする。スポーツのグローバルなリーチと文化的影響力を活用し、気候イノベーションのリーダーとしての地位を確立する可能性を論じている。
English
This essay proposes an AI-powered carbon intelligence platform for the global sports industry to track, predict, and reduce emissions in real time using data from transportation, energy, stadium operations, and supply chains. It argues that sports' global reach and cultural influence make it an ideal testbed for climate innovation, moving from basic reporting to active management of environmental impact.
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
日本のスポーツ業界（Jリーグ、プロ野球、東京2020後のレガシー）でも気候変動対応が求められている。本提案はAIを活用したリアルタイム排出管理の枠組みとして、日本のスポーツ団体が参考にできる可能性がある。
In the global GX context
This essay aligns with global trends in climate disclosure (ISSB, CSRD) by proposing real-time, AI-driven emissions management. It positions the sports industry as a model for other sectors, leveraging cultural influence to accelerate climate action.
👥 読者別の含意
🔬研究者:Proposes a conceptual framework for AI-driven carbon accounting in sports, offering a starting point for empirical research.
🏢実務担当者:Sports organizations can explore building or adopting AI platforms for real-time emissions tracking, moving beyond annual reporting.
🏛政策担当者:Highlights the potential for sports as a testbed for climate accountability technologies, informing policy support for innovation.
📄 Abstract（原文）
Climate change and its effects continue to intensify despite decades of international agreements and corporate sustainability pledges. One barrier to progress is the difficulty of understanding where emissions actually occur within complex and interconnected systems such as transportation networks, infrastructure operations, and global supply chains. At the same time, the rapid rise of artificial intelligence in system analysis has introduced a paradox: while it contributes to rising energy demand and environmental impact, it also offers opportunities to analyze and manage these same systems. This essay proposes that private-sector businesses could develop an AI-powered carbon intelligence platform for the global sports industry, capable of tracking, predicting, and reducing emissions in real time. By using data from transportation networks, energy systems, stadium operations, and event supply chains, this platform would allow leagues, teams, and event organizers to transition from basic reporting to actively managing their environmental impact as it occurs. The sports industry presents an especially ideal environment for this innovation due to its global reach, cultural influence, and diverse scale. Sporting events frequently bring together millions of participants, creating conditions where new technologies can be deployed, tested, and refined on diverse audiences. By transforming emissions measurement within sport into a real-time and transparent system, these platforms could reposition the sports industry as a leader in climate innovation and an example to be modeled in other industries.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.56020/001c.161618first seen 2026-06-18 06:03:13
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