Mercatus Research, Mercatus Center at George Mason University, Arlington, VA, 2017
56 Pages Posted: 22 Aug 2017
Date Written: August 17, 2017
There is growing interest in the market potential of artificial intelligence (AI) technologies and applications as well as in the potential risks that these technologies might pose. As a result, questions are being raised about the legal and regulatory governance of AI, machine learning, “autonomous” systems, and related robotic and data technologies. Fearing concerns about labor market effects, social inequality, and even physical harm, some have called for precautionary regulations that could have the effect of limiting AI development and deployment. In this paper, we recommend a different policy framework for AI technologies. At this nascent stage of AI technology development, we think a better case can be made for prudence, patience, and a continuing embrace of “permissionless innovation” as it pertains to modern digital technologies. Unless a compelling case can be made that a new invention will bring serious harm to society, innovation should be allowed to continue unabated, and problems, if they develop at all, can be addressed later.
Keywords: Artificial Intelligence, AI, Machine Learning, Big Data, Robot, Robotics, Regulation, Permissionless Innovation, Innovation, Precautionary Principle, Algorithm, Algorithmic, Transparency, Privacy, Discrimination, Panic, Neural, Internet, Legal, Liability, Soft Law, Standards, Thierer
JEL Classification: O38, K20, K24
Suggested Citation: Suggested Citation
Thierer, Adam D. and Castillo, Andrea and Russell, Raymond, Artificial Intelligence and Public Policy (August 17, 2017). Mercatus Research, Mercatus Center at George Mason University, Arlington, VA, 2017. Available at SSRN: https://ssrn.com/abstract=3021135