Artificial Intelligence (AI) and Child Protection : Analysing the Legal Framework for the Protection of Sexual Violence against Children and the Implications of AI in Protecting Children’s Rights against Online Child Sexual Exploitation and Abuse
Díaz Bethencourt, Eva (2023)
Díaz Bethencourt, Eva
2023
Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe20231108143638
https://urn.fi/URN:NBN:fi-fe20231108143638
Tiivistelmä
Children are subjected to crimes of sexual violence every day and all over the world. Child sexual abuse and exploitation is one of the greatest scourges we face as a society and its rapid growth and the countless forms it is taking is extremely worrying. One of the forms of child sexual abuse and exploitation that has dramatically increased in recent years, as a result of technological advances, is the creation, distribution and use of child sexual abuse material, images and videos depicting child sexual abuse and exploitation.
The rapid advances and sophistication of artificial intelligence (AI) have placed this technology as one of the most transformative of our time. One of the most significant competencies of AI is the ability to prevent and detect child sexual abuse material, through increasingly faster and more effective scanning of large volumes of data, reporting mechanisms, and identification of child victims. However, while AI offers immense benefits, it is also being misused to create and distribute child sexual abuse material more efficiently, using AI’s faculties to manipulate existing child sexual abuse material and/or to create sexually explicit AI-generated content involving children. This thesis analyses the impacts and consequences of AI in the context of child sexual abuse material and grooming. As well as the ethical and legal challenges and the benefits and opportunities related to the development of AI for child protection.
Moreover, the existing legal framework in the EU for child protection, and its shortcomings and legal gaps, are also analysed in this thesis. The Child Sexual Abuse Directive criminalises child sexual abuse material across European Union (EU) countries and urges States to block access and guarantee the prompt removal of websites that contain or disseminate child sexual abuse material hosted in their territory. Child sexual abuse material is also criminalised by the United Nations Convention on the Rights of the Child (UNCRC) and, under Council of Europe (CoE) law, by the Lanzarote Convention and the Budapest Convention. Despite the existence of this international and regional legal framework, the EU is still failing to protect children from falling victim to online child sexual abuse and exploitation. For this reason, the European Commission (EC) has elaborated the Child Sexual Abuse Proposal (CSA Proposal), which seeks to set a clear and harmonised legal framework to prevent and combat online child sexual exploitation and abuse. The CSA Proposal is examined in-depth, along with numerous debates on its shortcomings and risks. This thesis concludes that the establishment of a long-term and harmonised legal framework to prevent and combat child sexual abuse material has been proven to be necessary, to be able to effectively advance in the fight against all forms of child sexual abuse and exploitation.
The rapid advances and sophistication of artificial intelligence (AI) have placed this technology as one of the most transformative of our time. One of the most significant competencies of AI is the ability to prevent and detect child sexual abuse material, through increasingly faster and more effective scanning of large volumes of data, reporting mechanisms, and identification of child victims. However, while AI offers immense benefits, it is also being misused to create and distribute child sexual abuse material more efficiently, using AI’s faculties to manipulate existing child sexual abuse material and/or to create sexually explicit AI-generated content involving children. This thesis analyses the impacts and consequences of AI in the context of child sexual abuse material and grooming. As well as the ethical and legal challenges and the benefits and opportunities related to the development of AI for child protection.
Moreover, the existing legal framework in the EU for child protection, and its shortcomings and legal gaps, are also analysed in this thesis. The Child Sexual Abuse Directive criminalises child sexual abuse material across European Union (EU) countries and urges States to block access and guarantee the prompt removal of websites that contain or disseminate child sexual abuse material hosted in their territory. Child sexual abuse material is also criminalised by the United Nations Convention on the Rights of the Child (UNCRC) and, under Council of Europe (CoE) law, by the Lanzarote Convention and the Budapest Convention. Despite the existence of this international and regional legal framework, the EU is still failing to protect children from falling victim to online child sexual abuse and exploitation. For this reason, the European Commission (EC) has elaborated the Child Sexual Abuse Proposal (CSA Proposal), which seeks to set a clear and harmonised legal framework to prevent and combat online child sexual exploitation and abuse. The CSA Proposal is examined in-depth, along with numerous debates on its shortcomings and risks. This thesis concludes that the establishment of a long-term and harmonised legal framework to prevent and combat child sexual abuse material has been proven to be necessary, to be able to effectively advance in the fight against all forms of child sexual abuse and exploitation.
Kokoelmat
Samankaltainen aineisto
Näytetään aineisto, joilla on samankaltaisia nimekkeitä, tekijöitä tai asiasanoja.
-
How (not) to interview children : interviews with young children in sexual abuse investigations in Finland
Korkman, Julia (Åbo Akademi - Åbo Akademi University, 2006)The present thesis had two main objectives: The first was to assess how child sexual abuse (CSA) interviews in Finland are conducted through analysing the interviewing techniques applied and the language used by the ... -
“You Can Tell Me Anything” – The Association between Parent-Child Relationship and Prior Conversations on Disclosure of Child Sexual Abuse
Ahlgren, Lina (2021)In cases of child sexual abuse (CSA) the child’s disclosure is essential as other types of evidence if often not available or inconclusive. Many children only disclose to friends or peers which might not be adequate in ...Kokoteksti on luettavissa vain Kirjatornissa ja Academill-kirjastossa. -
The effect of using checklists on forensic child sexual abuse evaluations
Meurman, Emma (Åbo Akademi, 2016)Research suggests that forensic child sexual abuse evaluations are not following evidence-based practice guidelines. In the present study we examined the potential benefits of using a checklist in these evaluations. We ...