01175nam a22001457a 4500 515468 515468 210129b ||||| |||| 00| 0 eng d Cowgill, B., Dell’Acqua, F. and Matz, S. 23963 The managerial effects of algorithmic fairness activism AEA Papers and Proceedings 110, May, 2020: p.85-90 How do ethical arguments affect AI adoption in business? We randomly expose business decision-makers to arguments used in AI fairness activism. Arguments emphasizing the inescapability of algorithmic bias lead managers to abandon AI for manual review by humans and report greater expectations about lawsuits and negative PR. These effects persist even when AI lowers gender and racial disparities and when engineering investments to address AI fairness are feasible. Emphasis on status quo comparisons yields opposite effects. We also measure the effects of "scientific veneer" in AI ethics arguments. Scientific veneer changes managerial behavior but does not asymmetrically benefit favorable (versus critical) AI activism. AEA Papers and Proceedings INFORMATION TECHNOLOGY AR 0 0 ddc 0 0 389531 IIPA IIPA 2021-01-29 110, May, 2020: p.85-90 AR123953 2021-01-29 AR