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. [Book Section]
Documents
29044:593006
PDF (12 month embargo)
IKE4482.pdf - Accepted Version
Restricted to Repository staff only until 1 January 2050.
Available under License All rights reserved.
IKE4482.pdf - Accepted Version
Restricted to Repository staff only until 1 January 2050.
Available under License All rights reserved.
Download (309kB)
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.
More Information
Share
Actions (login required)
View Item |