Conceptualizing an AI-based Police Robot for Preventing Online Child Sexual Exploitation and Abuse
Part 2 – Legal Analysis of PrevBOT
Bibliographic Data
| ID | 6161768 |
|---|---|
| Authors | Inger Marie Sunde (0000-0003-1073-7308), Nina Sunde (0000-0001-8027-7904) |
| Year | 2022 |
| Volume | 9 |
| Issue | 1 |
| Pages | 1-15 |
| Publication date | 2022-12-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Nordic Journal of Studies in Policing (JOURNAL) |
| Journal identifiers | ISSN: 2703-7045 • E-ISSN: 2703-7045 |
| Publisher | Scandinavian University Press (PUBLISHER • NO) |
| DOI | 10.18261/njsp.9.1.11 |
| OpenAlex | W4313503420 |
| Language | EN |
| Citations received | 1 |
| References cited | 8 |
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
Child sexual abuse · Computer security · Criminology · Internet privacy · Medical emergency · Poison control · Robot · Sexual abuse · Sexual violence · Computer Science · Crime Patterns and Interventions · Cybercrime and Law Enforcement Studies · Hate Speech and Cyberbullying Detection · Human Factors and Ergonomics · Medicine · Psychology · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |