Stanford HAI

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.

On July 27, 2022, Congress passed the CHIPS and Science Act to spend $280 billion focused on boosting the United States’ scientific research and advanced semiconductor manufacturing capacity to boost U.S. competitiveness against China. This policy explainer describes the CHIPS and Science Act (hereafter, the “CHIPS Act”) and its impact on artificial intelligence (AI), including funding allocated to AI-related research and activities and provisions related to new AI capacitybuilding and development programs.