The Biden administration recently announced several artificial intelligence-related actions, including the forthcoming release of the Office of Management and Budget’s draft policy guidance on federal use of AI systems.
Carey Colyanese, Edward B. Sils Professor of Law and Political Science. He is also the director of the pen regulation program.Image: Courtesy of Penn Carey Law
Machine learning algorithms are very similar and different, says Carey Colyanise, Edward B. Sils Professor of Law and Political Science at Penn Carey Law School and an expert on the use of AI by governments. There are many, and they argue that it is difficult to find the best way to regulate algorithms. It will be difficult to use.
His paper “Controlling Machine Learning: Challenging Heterogeneity” (published below) international competition policy“The Biden administration’s recent actions, which have focused on concerns over artificial intelligence (AI), come at a critical time,” Collanese wrote. We are seeing rapid advances and new uses for AI technology, including use by the federal government. The time has come for clearer guidance for government agencies and appropriate regulatory standards for the private sector, thus ensuring a full and inclusive public dialogue. “
In his paper, Collanese advises that regulation must be agile, flexible and cautious to deal with differences in machine learning algorithms, advising policy makers to use existing algorithms to deal with the problems posed by machine learning. Encourage them to adapt their areas of expertise and authority.
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