First, use science, not science fiction. The foundation of scientific work is the principled reliance on empirical data and rigorous research. The same approach should be applied to AI governance.

Researchers from Stanford and leading institutions introduced the Artificial Intelligence Pricing Model (AIPM), integrating ...

This paper presents an empirical framework in which multiple commodity prices and the world interest rate transmit world disturbances. Estimates on a panel of 138 countries over the period 1960-2015 ...

Google DeepMind's update to its Frontier Safety Framework outlines the ways it intends to address potential risks of future AI models. It is also aimed at avoiding regulatory actions and convincing ...

This psychological framework provides a basis for future empirical studies and, thus, for effective measures to improve reporting ... The framework proposed in this article contributes to the ...

Meta has set new limits on the release of its advanced artificial intelligence models, establishing a framework detailing the ...

This study critiques the two-pool model for biochar, emphasizing the need for improved parameterization to accurately assess ...

The IMF working paper explores how financially constrained firms are more attentive to economic conditions and react ...

Meta has released a policy document outlining scenarios in which the company may not release certain categories of 'risky' AI ...

The Center for Open Science (COS) is excited to announce that Lifecycle Journal, a 3-year research and development pilot on a new model of scholarly communication, is now open for submissions.