This brief from the Stanford University Human-Centered Artificial Intelligence (HAI) introduces a quantitative framework that allows policymakers to evaluate the behavior of language models to assess what kinds of opinions they reflect. See the key takeaways in the brief.
The Stanford-based Natural Capital Project collaborated with Morgan Stanley's Institute for Sustainable Investing to develop a new, open-source ecosystem services footprinting tool to assess nature-related impacts and dependencies (i.e., the ways a business's operations may depend on nature's services)
Photonics research has been ongoing at Stanford since the 1960's. The university was also at the center of several initial developments in laser technology and has continued to develop the field. Read about other photonics research from using light's quantum nature in computing, to lower energy costs and to identify bacteria
The CREATE AI Act (Creating Resources for Every American to Experiment with Artificial Intelligence Act) was introduced by both sides of the U.S. Congress last month. The bill would establish a national AI research resource to provide access to much-needed compute and datasets for academics, nonprofit researchers, and startups.
A new Stanford study finds low-income communities in California have a disproportionate share of fire-prone overhead lines and proposes a way to equitably allocate the cost of moving more lines underground.
A new SIEPR Policy Brief explains and evaluates how the Clean Vehicle Tax Credit in the Inflation Reduction Act (IRA) works and evaluates it from an industrial policy perspective.
Stanford scientists have invented a new kind of paint that can reduce the need for both heating and air conditioning in buildings and other spaces, such as trains and trucks for refrigerated cargo.
A new paper concludes a seven year journey by the paper's co-author Austin Sendek, whose AI algorithms identified a promising new material for better batteries. A compound known as "LBS" has shown it can hold high levels of electricity without breaking down.
Adding real-world driving data to battery management software and computer models of battery pack performance can lead to longer-lasting, more reliable batteries.
At the meeting on June 20 with President Joe Biden, and leaders in AI including Stanford HAI Co-Director Fei-Fei Li and HAI Associate Director Rob Reich, the president was urged to invest in AI to ensure America's leadership.
