EMAC2022_AI_in_Public.pdf (129.42 kB)
AI in public: the effects of technology bias, fears of public surveillance, and moral tradeoffs on privacy concerns
conference contribution
posted on 2023-06-10, 02:58 authored by Matilda Dorotic, Emanuela StagnoEmanuela StagnoApplications of AI in public surveillance contexts fuel polemics among consumers and public policy makers alike. In two experimental studies, we explore the mechanisms that affect citizens’ attitudes towards government surveillance technologies. In Study 1, we show that the privacy and surveillance concerns are reduced when government (vs. firm) owns the data. Moreover, the fear of technology biases moderates the relationship between privacy concerns and willingness to adopt. In Study 2, we analyze the potential of anonymization of data collection to remedy the perceived privacy concerns. We find that the effect of anonymization of data collection on the willingness to support government surveillance technology goes through two parallel antecedents of privacy concerns: a reduction in perceived government intrusiveness and an increase in the perceived fairness and justice. Reduced privacy concerns ultimately increase the perceived usefulness of technological solution and increase the willingness to adopt.
History
Publication status
- Published
File Version
- Accepted version
Journal
Proceedings of the European Marketing AcademyPublisher
EMACPage range
1-11Event name
EMAC Annual Conference 2022Event location
Corvinus University of BudapestEvent type
conferenceEvent date
24-27 May 2022Department affiliated with
- Strategy and Marketing Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2022-03-25First Open Access (FOA) Date
2022-03-28First Compliant Deposit (FCD) Date
2022-03-28Usage metrics
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