Artificial intelligence, machine learning, and large language models are impacting law and society in a wide range of ways. The Engelberg Center engages with this technology through a multi-disciplinary lens, combining legal, technical, and cultural expertise to find answers and insights to new questions.
This article develops a principal-agent test for determining when algorithmic decision-making should trigger disclosure obligations even when concerns about gaming or trade secrecy exist.
