The Biden administration recently announced several artificial intelligence-related actions, including the upcoming release of the Office of Management and Budget’s draft policy guidance on the use of AI systems by the federal government.
Cary Coglianese, Edward B. Shils Professor of Law and Professor of Political Science and expert on governmental use of AI at the Penn Carey Law School, argues that because machine-learning algorithms are so dissimilar and diverse, figuring out the best way to regulate their use will be challenging.
In his paper, “Regulating Machine Learning: The Challenge of Heterogeneity,” published by Competition Policy International, Coglianese writes, “the Biden Administration’s recent actions to spotlight concerns around artificial intelligence (AI) are coming at an important time. We are seeing rapid advances in and new uses for AI technology, including uses by the federal government. A full and inclusive public dialogue is warranted, as the time has come for clearer guidance for government agencies as well as appropriate regulatory standards for the private sector.”
In his paper, Coglianese also advises that regulation must be agile, flexible, and vigilant to address differences in machine-learning algorithms, and he urges policymakers to adapt preexisting areas of expertise and authority to address problems created by machine learning.
Read more at Penn Carey Law.