Organization
University of Queensland
Description
Analysis of how well AI can predict the risk of child maltreatment (Predicitve Risk Modelling PRM), based on such a tool used in New Zealand.
File
Link
https://academic.oup.com/bjsw/article-abstract/46/4/1044/2472679
Tags
PreventionNeural networks
Type
Research (peer reviewed)
Year
2015
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Artificial intelligence-produced child sexual abuse material: Insights from
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BI Norwegian Business School, Norwegian University of Science and Technology
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Cornell University
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Black and Latinx Primary caregiver considerations for developing and implementing a machine learning-based model for detecting child abuse and neglect with implications for racial bias reduction: A qualitative study
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BS-SC Model: A Novel Method for Predicting Child Abuse Using Borderline-SMOTE Enabled Stacking Classifier
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Determining Child Sexual Abuse Posts based on Artificial
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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
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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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Internetrelaterade sexuella övergrepp mot barn
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Auckland University of Technology
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Singidunum University
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Unicef
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Griffeye
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University of Haifa
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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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Abuse and Exploitation Online.
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Minimizing the Risk of Violence,
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ITU/UNESCO Broadband Commission for Sustainable Development
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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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Department of Psychology, University of Gothenburg
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University of Queensland
Research (peer reviewed)
PreventionNeural networks