| Tittel: | Conceptualizing an AI-based Police Robot for Preventing Online Child Sexual Exploitation and Abuse : Part I – The Theoretical and Technical Foundations for PrevBOT |
| Ansvar: | Nina Sunde & Inger Marie Sunde |
| Forfatter: | Sunde, Nina  / Sunde, Inger Marie |
| Materialtype: | Artikkel - elektronisk |
| Signatur: | Nordic Journal of Studies in Policing |
| Utgitt: | Oslo : Universitetsforlaget, 2021 |
| Omfang: | S. 1-21 |
| Serie: | Nordic Journal of Studies in Policing ; 2/2021 |
| Emneord: | AI - Artificial intelligence / Barn / Forebygging / Kriminalitet / Kunstig intelligens / Seksuelle overgrep |
| Note: | Open access. Creative Commons (CC BY-NC 4.0) |
| Innhold: | Child sexual exploitation and abuse (CSEA) needs more attention from a crime prevention perspective. This is the first in a two-part series about the PrevBOT concept, which is an automated tool supporting the police in preventing CSEA in online chat rooms. Part I presents the concept, its theoretical framework, and the technology. Equipped with technology for Authorship Analysis, the tool can identify problematic digital spaces unsafe for children. Given the advancements in machine learning algorithms, PrevBOT may provide predictions concerning age and gender behind online aliases engaged in sexualized speech with children and assist the police in identifying former CSEA offenders who resume the criminal activity online. Part II provides a legal analysis of issues relating to data protection, privacy, and fair trial.
Keywords: CSEA, crime prevention, machine learning, authorship analysis |
| Del av verk: | Nordic Journal of Studies in Policing 2/2021 |