Energy, Environment
How AI can address environmental challenges and aid in sustainability efforts.
Dan Iancu & Antonio Skillicorn | Interpretable Machine Learning and Mixed Datasets for Predicting Child Labor in Ghana’s Cocoa Sector
Child labor remains prevalent in Ghana’s cocoa sector and is associated with adverse educational and health outcomes for children.
Child labor remains prevalent in Ghana’s cocoa sector and is associated with adverse educational and health outcomes for children.
Axios chief technology correspondent Ina Fried speaks to HAI Senior Fellow Yejin Choi at Axios House in Davos during the World Economic Forum.
Axios chief technology correspondent Ina Fried speaks to HAI Senior Fellow Yejin Choi at Axios House in Davos during the World Economic Forum.
Environmental, social, and governance risks pose a threat to economies and human well-being around the world. However, we have the power to build a sustainable planet. Recent developments in AI are helping us see issues that were hard to identify before. As machine vision helps us see our world, we are able to detect issues, track them, and create targeted interventions. In this brief, we examine innovations by Stanford researchers that use AI and ML techniques to shift our world from one that depletes resources to one that preserves them for the future. For example, we can now track methane emissions across our energy and food systems, opening an avenue for policy formation and enforcement through near real-time tracing. AI enables knowledge-to-action and will play a key role in measuring and effectively achieving environmental, social, and governance goals.
Environmental, social, and governance risks pose a threat to economies and human well-being around the world. However, we have the power to build a sustainable planet. Recent developments in AI are helping us see issues that were hard to identify before. As machine vision helps us see our world, we are able to detect issues, track them, and create targeted interventions. In this brief, we examine innovations by Stanford researchers that use AI and ML techniques to shift our world from one that depletes resources to one that preserves them for the future. For example, we can now track methane emissions across our energy and food systems, opening an avenue for policy formation and enforcement through near real-time tracing. AI enables knowledge-to-action and will play a key role in measuring and effectively achieving environmental, social, and governance goals.
Using AI to Map Urban Change
This brief introduces a novel street-view image dataset and AI model as a more accurate proxy for detecting and assessing urban changes such as gentrification.
This brief introduces a novel street-view image dataset and AI model as a more accurate proxy for detecting and assessing urban changes such as gentrification.
HAI Co-Director James Landay and HAI Senior Fellow Erik Brynjolfsson discuss the impacts of AI in 2025 and the future of AI in 2026.
HAI Co-Director James Landay and HAI Senior Fellow Erik Brynjolfsson discuss the impacts of AI in 2025 and the future of AI in 2026.
Using AI to Understand Residential Solar Power
This brief introduces a computer-vision approach to analyzing solar panel adoption in U.S. households that can help policymakers tailor incentive mechanisms.
This brief introduces a computer-vision approach to analyzing solar panel adoption in U.S. households that can help policymakers tailor incentive mechanisms.
All Work Published on Energy, Environment
Stanford HAI Senior Fellow Yejin Choi is named as one of TIME100's 2025 most influential thinkers in AI.
Stanford HAI Senior Fellow Yejin Choi is named as one of TIME100's 2025 most influential thinkers in AI.
Using Satellite Imagery to Understand and Promote Sustainable Development
This brief discusses the opportunities and limitations of AI models that can map satellite image inputs to sustainable development outcomes.
This brief discusses the opportunities and limitations of AI models that can map satellite image inputs to sustainable development outcomes.
The Tech Coup: A New Book Shows How the Unchecked Power of Companies Is Destabilizing Governance
In The Tech Coup: How to Save Democracy from Silicon Valley, Marietje Schaake, a Stanford HAI Policy Fellow, reveals how tech companies are encroaching on governmental roles, posing a threat to the democratic rule of law.
In The Tech Coup: How to Save Democracy from Silicon Valley, Marietje Schaake, a Stanford HAI Policy Fellow, reveals how tech companies are encroaching on governmental roles, posing a threat to the democratic rule of law.
To Solve AI's Energy Crisis, ‘Rethink the Entire Stack From Electrons to Algorithms,' Says Stanford Prof
During the HAI at Five conference, HAI associate director Surya Ganguli explains how he sees the science of the mind informing the way the machine learning technology stack.
During the HAI at Five conference, HAI associate director Surya Ganguli explains how he sees the science of the mind informing the way the machine learning technology stack.