Daniel J. Mallinson, Lauren Azevedo, E. Best, Pedro Robles, Jue Wang
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引用次数: 0
Abstract
The myriad applications of artificial intelligence (AI) by the private and public sectors have exploded in the public consciousness in the postpandemic period. However, researchers and businesses have been working on AI technology applications for decades, and in many ways, governments are rushing to catch up. This article presents an argument that the future of AI policy in the United States will be driven in large part by current and future state-level policy experiments. This argument is presented by drawing on scholarship surrounding federalism, regulatory fragmentation, and the effects of fragmentation on business and social equity. The article then presents the case of autonomous vehicle policy in the states to illustrate the degree of current fragmentation and considers the effects of layering new AI policies on top of existing rules surrounding privacy, licensing, and more. Following this consideration of existing research and its application of AI policy, the article presents a research agenda for leveraging state differences to study the effects of AI policy and develop a cohesive framework for governing AI.
期刊介绍:
Business and Politics solicits articles within the broad area of the interaction between firms and political actors. Two specific areas are of particular interest to the journal. The first concerns the use of non-market corporate strategy. These efforts include internal organizational design decisions as well as external strategies. Internal organizational design refers to management structure, sourcing decisions, and transnational organization with respect to the firm"s non-market environment. External strategies include legal tactics, testimony, lobbying and other means to influence policy makers at all levels of government and international institutions as an adjunct to market strategies of the firm.