| Tittel: | Conceptualizing an AI-based Police Robot for Preventing Online Child Sexual Exploitation and Abuse: : Part 2 – Legal Analysis of PrevBOT |
| Ansvar: | Inger Marie Sunde, Nina Sunde |
| Forfatter: | Sunde, Inger Marie  / Sunde, Nina |
| Materialtype: | Artikkel - elektronisk |
| Signatur: | Nordic Journal of Studies in Policing |
| Utgitt: | Oslo : Universitetsforlaget, 2022 |
| Omfang: | S. 1-15 |
| Serie: | Nordic Journal of Studies in Policing ; 1/2022 |
| Emneord: | AI - Artificial intelligence / Barn / Forebygging / Kriminalitet / Kunstig intelligens / Maskinlæring / Seksuelle overgrep |
| Stikkord: | European Artificial Intelligence Act |
| Note: | Open access. Creative Commons (CC BY-NC 4.0) |
| Innhold: | Abstract
This is the second article in a two-part series about the PrevBOT concept, which is an automated tool supporting the police in preventing CSEA in online chat rooms. The first article described the PrevBOT concept, its theoretical framework, and the technology. This Part II analyses legal issues central to the implementation of PrevBOT. In particular, issues of privacy, police provocation, self-incrimination and data protection are addressed. In addition, PrevBOTʼs identification and categorization functions are analyzed against the proposed European Artificial Intelligence Act. The conclusion is that the PrevBOT concept may be lawfully implemented, thus providing the police with a new tool to prevent online CSEA.
Keywords: CSEA, crime prevention, machine learning, police provocation, self-incrimination, data protection, artificial intelligence |
| Del av verk: | Nordic Journal of Studies in Policing 1/2022 |