BAYERL, Petra Saskia, AKHGAR, Babak, LA MATTINA, Ernesto, PIRILLO, Barbara, COTOI, Ioana, ARIU, Davide, MAURI, Matteo, GARCIA, Jorge, KAVALLIEROS, Dimitris, KARDARA, Antonia and KARAGIORGOU, Konstantina (2021). Strategies to Counter Artificial Intelligence in Law Enforcement: Cross-Country Comparison of Citizens in Greece, Italy and Spain. In: - Transactions on Computational Science & Computational Intelligence . Cham, Switzerland, Springer.
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Abstract
This paper investigates citizens’ counter-strategies to the use of Artificial Intelligence (AI) by law enforcement agencies(LEAs). Based on information from three countries (Greece, Italy and Spain) we demonstrate disparities in the likelihood of ten specific counter-strategies. We further identified factors that increase the propensity for counter-strategies. Our study provides an important new perspective to societal impacts of security-focused AI applications by illustrating the conscious, strategic choices by citizens when confronted with AI capabilities for LEAs.
Item Type: | Book Section |
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Additional Information: | IKE'21 - The 20th International Conference on Information and Knowledge Engineering, 26 July 2021- 29 July 2021. Las Vegas, USA. Series ISSN:2569-7072 |
SWORD Depositor: | Symplectic Elements |
Depositing User: | Symplectic Elements |
Date Deposited: | 13 Sep 2021 12:48 |
Last Modified: | 11 Jan 2023 14:58 |
URI: | https://shura.shu.ac.uk/id/eprint/29044 |
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