Abstract
We investigate whether the perceived ethicalness of police actions changes when police follow an AI-robot’s advice. We assess whether perceived ethicalness of police violence is higher when police follow robot advice to arrest a passer-by, compared to no robot advice to arrest the passer-by. Using neutralization theory, we test how blame-shifting occurs. When police violently arrest an innocent passer-by, the violence is neutralized when the decision was made following the AI-robot. Perceived ethicalness of police violence is higher when the passer-by is a terrorist, and police violence against a passer-by is neutralized through ‘denial of victim’ and ‘denial of injury’.
| Original language | English |
|---|---|
| Journal | Public Management Review |
| Volume | 26 |
| Issue number | 8 |
| Pages (from-to) | 2355-2379 |
| Number of pages | 25 |
| ISSN | 1471-9037 |
| DOIs | |
| Publication status | Published - 07.2024 |
Bibliographical note
Publisher Copyright:© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Research areas and keywords
- Artificial intelligence
- perceived ethicalness
- police use of force
- service robots
- survey experiments
- Informatics
ASJC Scopus Subject Areas
- Public Administration
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