AI & Environment Resource HubAggrey Muhebwa and Osman Khalid · 2025-05-01
This study presents a behavior-driven decision framework that helps AI developers choose models balancing accuracy and environmental sustainability by quantifying energy use and emissions during fine-tuning and applying behavioral decision theories.
Aggrey Muhebwa and Osman Khalid. 2025-05-01. A Behavioral Finance Framework for Balancing AI Accuracy and Operational Carbon Emissions. https://dl.acm.org/doi/pdf/10.1145/3736646 (AI & Environment Resource Hub; record paper-300; collection snapshot 2026-09-15).
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Source sheet: Scientific Paper · Row 304 · Original ID: paper-300.
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Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Climate and greenhouse gases
This paper explores green AI as a path to environmental sustainability by promoting energy-efficient models, democratized access, eco-friendly AI applications, and regulatory frameworks to align machine learning practices with global climate goals.
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Climate and greenhouse gases
AI and ML optimize optoelectronic systems for sustainability by enhancing energy efficiency, renewable energy harvesting, environmental monitoring, and smart cities while also advancing ocean optics and photonics for marine ecosystem monitoring and climate change mitigation.
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Climate and greenhouse gases
Dive into this groundbreaking podcast that unpacks the powerful intersection of AI, sustainability, and higher education. Listen to inspiring voices as they share how AI is driving sustainable development and reshaping education. Uncover the transformative potential of AI as well as ensuing risks and challenges in tackling climate change, addressing inequality, and powering smarter learning systems. Join the global conversation on the ethics, opportunities, and disruptions AI brings to education and its role in achieving the 2030 Agenda.
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Climate and greenhouse gases
Open access book assembling cutting-edge research exploring AI infrastructures and sustainability across media and communication, covering AI-driven media, energy consumption, climate change, and policies/ethics.