Abstract
Conceptualizing an AI-based Police Robot for Preventing Online Child Sexual Exploitation and Abuse:
Highlights
Background and literature reviewThe literature review centers on the online grooming process where offenders communicate with a child via the internet, and excludes research concerned with child sexual abuse material (CSAM) offences, many have committed both types of offences (Shelton et al, 2016)
The research questions we explore are (a) Whether machine learning applied to Authorship Analysis is suitable for developing PrevBOT; and (b) Whether PrevBOT may be realized in accordance with fundamental rights to data protection, privacy and fair trial
This prepares the ground for a legal analysis of perspectives related to development and implementation of PrevBOT as a tool supporting the police in preventing online Child sexual exploitation and abuse (CSEA), offered in Part II (Sunde & Sunde, 2021)
Summary
Child sexual exploitation and abuse (CSEA) was a problem before the Internet. the Internet opened up new and distinct opportunities for CSEA offenders in terms of new and accessible spaces where children spend time, without the presence of guardians such as their parents. Child sexual exploitation and abuse (CSEA) was a problem before the Internet.. The Internet opened up new and distinct opportunities for CSEA offenders in terms of new and accessible spaces where children spend time, without the presence of guardians such as their parents. Chat rooms are the most commonly reported online setting where the initial interaction between the offender and child takes place
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