Energy, Environment
How AI can address environmental challenges and aid in sustainability efforts.
David Sandalow | AI for Good: Reducing Greenhouse Gas Emissions
David Sandolow, Inaugural Fellow at Columbia University’s Center on Global Energy Policy, will present insights from the second edition of the Artificial Intelligence for Climate Change Mitigation Roadmap.
David Sandolow, Inaugural Fellow at Columbia University’s Center on Global Energy Policy, will present insights from the second edition of the Artificial Intelligence for Climate Change Mitigation Roadmap.
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.
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
In this brief, Stanford scholars introduce a novel street-view image dataset and AI model as a more accurate proxy for detecting and assessing urban changes such as gentrification.
In this brief, Stanford scholars introduce a novel street-view image dataset and AI model as a more accurate proxy for detecting and assessing urban changes such as gentrification.
Using AI to Understand Residential Solar Power
Using AI to Understand Residential Solar Power
Using AI to Understand Residential Solar Power
All Work Published on Energy, Environment
David Sandalow | AI for Good: Reducing Greenhouse Gas Emissions
David Sandolow, Inaugural Fellow at Columbia University’s Center on Global Energy Policy, will present insights from the second edition of the Artificial Intelligence for Climate Change Mitigation Roadmap.
David Sandalow | AI for Good: Reducing Greenhouse Gas Emissions
David Sandolow, Inaugural Fellow at Columbia University’s Center on Global Energy Policy, will present insights from the second edition of the Artificial Intelligence for Climate Change Mitigation Roadmap.
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.
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
In this brief, Stanford scholars introduce a novel street-view image dataset and AI model as a more accurate proxy for detecting and assessing urban changes such as gentrification.
In this brief, Stanford scholars introduce a novel street-view image dataset and AI model as a more accurate proxy for detecting and assessing urban changes such as gentrification.
Using AI to Understand Residential Solar Power
Using AI to Understand Residential Solar Power
Using AI to Understand Residential Solar Power
