| 000 -LEADER |
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| fixed length control field |
01175nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
210129b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Cowgill, B., Dell’Acqua, F. and Matz, S. |
| 245 ## - TITLE STATEMENT |
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| Title |
The managerial effects of algorithmic fairness activism |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
AEA Papers and Proceedings |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
110, May, 2020: p.85-90 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
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. |
| 773 ## - HOST ITEM ENTRY |
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| Main entry heading |
AEA Papers and Proceedings |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
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| Subject DIP |
INFORMATION TECHNOLOGY |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Item type |
Articles |
