Energy, Environment
How AI can address environmental challenges and aid in sustainability efforts.
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
Residential solar panel usage is growing rapidly, as more households use photovoltaic (PV) technology to convert sunlight into electricity. But the deployment of residential solar PV has been highly unequal across the United States. Studying the spread of solar PV technology is vital to identifying and tackling barriers to adoption. In this brief, we present computer vision as an essential technique that can help policymakers understand residential solar usage. Our research uses computer vision to build a nationwide dataset to capture information about solar PV deployment in the United States across time and geography in an automated and scalable manner.
Residential solar panel usage is growing rapidly, as more households use photovoltaic (PV) technology to convert sunlight into electricity. But the deployment of residential solar PV has been highly unequal across the United States. Studying the spread of solar PV technology is vital to identifying and tackling barriers to adoption. In this brief, we present computer vision as an essential technique that can help policymakers understand residential solar usage. Our research uses computer vision to build a nationwide dataset to capture information about solar PV deployment in the United States across time and geography in an automated and scalable manner.