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AI and Climate Action: Innovations, Policies, and Global Efforts

AI and Climate Action

Four industrial smokestacks stand against a clear blue sky, with white smoke or steam billowing from the leftmost two.

U.S. Surge in Gas-Fired Power Driven by AI Demands Raises Climate Concerns

A new energy analysis shows the U.S. is leading a global increase in gas-fired power plants to meet rising electricity demand from AI data centres.

Planned projects could generate tens of billions of tonnes of carbon emissions, accelerating climate change and worsening extreme weather worldwide. Critics warn fossil fuel expansion undermines clean energy goals, while advocates push for renewable alternatives.

Source: The Guardian

An indoor conference stage at the "Adopt AI" event featuring a panel discussion titled "Greening AI and Greening with AI." Four panelists sit on a blue stage in front of a large digital screen displaying their profiles and the "AI for the Planet" logo. An audience is seated in the foreground, facing the stage within a grand, high-ceilinged architectural space.

UNESCO Puts Sustainable AI in the Spotlight at Adopt AI Summit in Paris

UNESCO emphasized AI’s environmental impact and its potential to support climate action at the Adopt AI Summit in Paris.

Leaders called for global cooperation, green computing investments, and policy frameworks aligned with the UN Sustainable Development Goals to ensure AI advances sustainability rather than harms it.

Source: UNESCO

An indoor data center with rows of black server racks on the left and a large floor-to-ceiling window on the right. The window looks out onto a bright green landscape under a blue sky, creating a sharp contrast between the dark, industrial technology inside and the natural world outside. Overheads show industrial piping and blue accent lighting.

Responding to the Climate Impact of Generative AI

Experts from Massachusetts Institute of Technology proposed strategies to cut emissions linked to generative AI training and computing infrastructure.

Recommendations include improving data-centre efficiency, adopting renewable energy, and implementing techniques such as model pruning and carbon-aware training to reduce AI’s environmental footprint.

Source: MIT News

Researchers Dai Kuai (left) and Professor Su Hui (right) from the Hong Kong University of Science and Technology (HKUST) present a new AI weather model during a media briefing.

Hong Kong Scientists Launch New AI Model to Predict Extreme Weather

Researchers at Hong Kong University of Science and Technology developed the Deep Diffusion Model (DDMS) to improve forecasts of thunderstorms and heavy rainfall.

The system extends prediction time to four hours ahead with greater accuracy, strengthening early-warning systems as climate change increases extreme weather events.

Source: Reuters

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