Reporting Checklist for Studies with Large Language Models in the Behavioral and Social Sciences

Safety-critical data, such as crash and near-crash records, are crucial to improving autonomous vehicle (AV) design and development. Sharing such data across AV companies, academic researchers, regulators, and the public can help make all AVs safer. ...

We investigate the potential implications of large language models (LLMs), such as Generative Pre-trained Transformers (GPTs), on the U.S. labor market, focusing on the increased capabilities arising ...

1. Optimality of Non-Adaptive Algorithms in Online Submodular Welfare Maximization with Stochastic Outcomes Authors: Rajan Udwani (University of California, Berkeley) 2. Investment and misallocation i...

The rapid development of AI is already changing how journalists operate. Reporters, editors, executives, and others across the news industry share their advice on how to engage—and where to draw the l...

Given the rising proliferation and diversity of AI writing assistance tools, especially those powered by large language models (LLMs), both writers and readers may have concerns about the impact of th...