Organization
Adhiyamaan College of Engineering
Description
A report on a downloadable AI that analyses browser history to assess the risk that a child may be sexually exploited. The report does not provide concrete figures on how well the tool works.
File
2648.pdf
Link
Tags
Child Sexual Abuse Material (CSAM)PreventionNeural networks
Type
Research (peer reviewed)
Year
2022
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Technological University Dublin
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Child Sexual Abuse Material (CSAM)Clustering/Classification
Identifying Online Child Sexual Texts in Dark Web through
Machine Learning and Deep Learning Algorithms
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Machine Learning and Deep Learning Algorithms
Technological University Dublin
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…det var en känsla av att han befann sig i rummet bredvid
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Lancaster University
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The Economist Intelligence Unit
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Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions
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Internetrelaterade sexuella övergrepp mot barn
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Riksrevisionen
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How SARs fight online child sexual abuse by flagging financial crime
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Napier
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Auckland University of Technology
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Oslo Metropolitan University
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Criminal investigationprosecution
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Humboldt Universitat zu Berlin
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Natural Language ProcessingClustering/Classification
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Singidunum University
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PreventionClustering/ClassificationNeural networks
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Nalla Malla Engineering College, Galgotias University, Vellore Institute of Technology
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Karolinska Institutet
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Göteborgs Universitet
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Summary Paper on Online Child Sexual Exploitation
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ECPAT
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Curbing the Surge
in Online Child Abuse
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in Online Child Abuse
European Parliament
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PreventionNeural networks
Action to End child Sexual Abuse and Exploitation
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Unicef
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Child Sexual Abuse Material (CSAM)Prevention
Brief version: Action to End child Sexual Abuse and Exploitation
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Unicef
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Child Sexual Abuse Material (CSAM)Prevention
An Integrative Review of Historical Technology and Countermeasure Usage Trends in Online Child Sexual Exploitation Material Offender
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Griffeye
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University of Haifa
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Artificial intelligencePerpetratorsCriminal investigationSupervised learningNeural networksMachine learningChild-focusedChild Sexual Abuse Material (CSAM)
Estimation of the Development of Depression and PTSD in Children Exposed to Sexual Abuse and Development of Decision Support Systems by Using Artificial Intelligence
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Inonu University
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Child-focusedPost-traumatic stress (PTS)Post-crime efforts
AI Roundtable 2019 Summary
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World Childhood Foundation
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Artificial Intelligence: combating online sexual abuse of children
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Bracket Foundation
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Out of the Shadows Whitepaper
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The Economist Intelligence Unit
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PreventionChild Sexual Abuse Material (CSAM)
What Works to Prevent Sexual Violence Against Children
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Together for girls
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Minimizing the Risk of Violence,
Abuse and Exploitation Online.
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Minimizing the Risk of Violence,
Abuse and Exploitation Online.
ITU/UNESCO Broadband Commission for Sustainable Development
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PreventionPerpetrators
A Practitioner Survey Exploring the Value of Forensic Tools, AI, Filtering, & Safer Presentation for Investigating Child Sexual Abuse Material (CSAM)
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University of New Haven / Digital Forensic Research Workshop
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Institute of Electrical and Electronics Engineers (IEEE) and Mississippi State University
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PreventionChild Sexual Abuse Material (CSAM)
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of Children
UNODC
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University of Queensland
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PreventionNeural networks