Does Information About AI Regulation Change Manager Evaluation of Ethical Concerns and Intent to Adopt AI?

Author:

Cuéllar Mariano-Florentino11,Larsen Benjamin22,Lee Yong Suk33,Webb Michael44

Affiliation:

1. Carnegie Endowment for International Peace, Washington, DC, USA

2. Copenhagen Business School, Frederiksberg, Denmark

3. University of Notre Dame, Keough School of Global Affairs and Technology Ethics Center, Notre Dame, IN, USA

4. Stanford University, Stanford, CA, USA

Abstract

AbstractWe examine the impacts of potential artificial intelligence (AI) regulations on managers’ perceptions on ethical issues related to AI and their intentions to adopt AI technologies. We conduct a randomized online survey experiment on more than a thousand managers in the United States. We randomly present managers with different proposed AI regulations, and ask about ethical issues related to AI and their intentions related to AI adoption. We find that information about AI regulation increases manager perception of the importance of safety, privacy, bias/discrimination, and transparency issues related to AI. However, there is a tradeoff; regulation information reduces manager intent to adopt AI technologies. Moreover, information about regulation increases manager intent to spend on developing AI strategy including ethical issues at the cost of investing in AI adoption, such as providing AI training to current employees or purchasing AI software packages. (JEL: K24, L21, L51, O33, O38)

Publisher

Oxford University Press (OUP)

Subject

Law,Organizational Behavior and Human Resource Management,Economics and Econometrics

Reference80 articles.

1. The Causal Effects of Competition on Innovation: Experimental Evidence,”;Aghion;Journal of Law, Economics, and Organization,2018

2. The Economics of Artificial Intelligence

3. From Principles to Practice - An Interdisciplinary Framework to Operationalise AI Ethics;Ethics Impact Group;VDE Association for Electrical Electronic & Information Technologies e.V., Bertelsmann Stiftung,2020

4. A Harm-Reduction Framework for Algorithmic Fairness,”;Altman;IEEE Security and Privacy,2018

5. How Do Entrepreneurs Organize Firms under Conditions of Uncertainty,”;Alvarez;Journal of Management,2005

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