AI & Environment Resource HubMultiple (edited volume, Palgrave Macmillan) · 2026-03-13
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.
Source identity and required public metadata were editorially reviewed on 2026-09-15.
Multiple (edited volume, Palgrave Macmillan). 2026-03-13. AI Infrastructures and Sustainability: Expanding Perspectives on Automation, Communication and Media. https://link.springer.com/book/10.1007/978-3-032-09748-4 (AI & Environment Resource Hub; record paper-439; collection snapshot 2026-09-15).
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Source sheet: Scientific Paper · Row 443 · Original ID: paper-439.
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Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure
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; Built environment and infrastructure
AI’s rapid growth is driving an unprecedented surge in energy and water demand, raising serious environmental justice concerns, especially in marginalized communities, while sparking debate over whether climate benefits can outweigh the harms without stronger accountability and sustainable innovation.
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure
AI is evolving at unprecedented speed and regulation is struggling to keep up. What does this mean for the future of democracy, UK climate goals and wider environmental ambitions? In this episode of the Green Alliance Podcast, Shaun Spiers, executive director at Green Alliance, speaks with Professor Gina Neff, executive director of the Minderoo Centre for Technology and Democracy and professor of responsible AI at Queen Mary University of London. They explore the risks of unchecked big tech and the environmental costs of its rapid expansion: from energy-hungry data centres to the urgent need for transparency and accountability.
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure
Increasing investment in artificial intelligence (AI) is prompting a larger discussion around sustainability, from the huge demand for electricity to power data centers to the life cycle emissions of hardware needed to enable this technology. Globally, companies and governments are preparing for significant increases in energy use and raw material extraction to meet demand. On the other hand, evolving technology and breakthroughs in AI optimization could lead to lower emissions than previously anticipated. Join us for a discussion about opportunities to decarbonize AI and learn how leaders in the field are navigating the uncertainty.