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Description
The article looks at how AI can analyse activity on mobile screens and audio ports, to detect bullying, porn and sexual harassment. Unlike previous experiments, this AI can see all activity as the user sees it, and not just see input in the form of texts or images that are retrieved from the screen and then processed. The model achieves an average accuracy of 88% when classifying texts, such as classifying sexism and racism. Furthermore, the model achieves 95% accuracy in detecting pornography.
Link
Tags
PreventionClustering/ClassificationNeural networks
Type
Research (peer reviewed)
Year
2021
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Artificial intelligence-produced child sexual abuse material: Insights from
Dark Web forum posts
Artificial intelligence-produced child sexual abuse material: Insights from
Dark Web forum posts
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Child Sexual Abuse Material (CSAM)Generative AI
Stella Polaris Summit 2024 Summary
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World Childhood Foundation
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Generative AI - A New Threat for Online Child Sexual
Exploitation and Abuse
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Bracket Foundation and UNICRI Centre for AI and Robotics
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Child Sexual Abuse Material (CSAM)Prevention
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Activity report /VerksamhetsberättelseSweden-focused
Child Sexual Abuse on the Internet: Report on the Analysis of Technological Factors that Affect the Creation and Sharing of Child Sexual Abuse Material on the Internet.
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BI Norwegian Business School, Norwegian University of Science and Technology
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InternetPolicyDetectionprosecutionPost-crime effortsCriminal investigation
Guarding the Guardians: Automated Analysis of Online Child Sexual Abuse
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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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University of Pennsylvania Columbia University
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PreventionMachine learning
BS-SC Model: A Novel Method for Predicting Child Abuse Using Borderline-SMOTE Enabled Stacking Classifier
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B. S. Abdur Rahman Crescent Institute of Science and Technology
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PreventionDetectionClustering/Classification
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King Faisal Specialist Hospital and Research Centre Princess Nora bint Abdul Rahman University Mississippi State University
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DetectionChild-focusedNeural networks
Determining Child Sexual Abuse Posts based on Artificial
Intelligence
Determining Child Sexual Abuse Posts based on Artificial
Intelligence
Technological University Dublin
Report
Child Sexual Abuse Material (CSAM)Clustering/Classification
Identifying Online Child Sexual Texts in Dark Web through
Machine Learning and Deep Learning Algorithms
Identifying Online Child Sexual Texts in Dark Web through
Machine Learning and Deep Learning Algorithms
Technological University Dublin
Report
Child Sexual Abuse Material (CSAM)Machine learningDeep Learning
Discovering Child Sexual Abuse Material Creator´s Behaviors and
Preferences on the Dark Web
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Preferences on the Dark Web
Technological University Dublin
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How AI is being abused to create child sexual abuse imagery
How AI is being abused to create child sexual abuse imagery
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Artificial intelligencePerpetratorsPreventionChild Sexual Abuse Material (CSAM)Generative AI
…det var en känsla av att han befann sig i rummet bredvid
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Sweden-focusedprosecutionInternet
Sperm hunting on optical microscope slides for forensic analysis with deep convolutional networks – a feasibility study
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Zurich Institute of Forensic Medicine
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Perpetrators
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Adhiyamaan College of Engineering
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Child Sexual Abuse Material (CSAM)PreventionNeural networks
Applying Artificial Intelligence for Age Estimation in Digital Forensic Investigations
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Artificial intelligenceNeural networks
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Artificial intelligenceprosecutionChild Sexual Abuse Material (CSAM)Machine learning
Out of the Shadows Index
Out of the Shadows Index
The Economist Intelligence Unit
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PreventionChild Sexual Abuse Material (CSAM)
Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions
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EthicsDetectionPrevention
Unga sex och internet #MeToo
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Internetrelaterade sexuella övergrepp mot barn
Internetrelaterade sexuella övergrepp mot barn
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PreventionChild Sexual Abuse Material (CSAM)prosecution
How SARs fight online child sexual abuse by flagging financial crime
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Predicting Prolific Live Streaming of Child Sexual Abuse
Predicting Prolific Live Streaming of Child Sexual Abuse
Australian Institute of Criminology
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Financial transactionsArtificial intelligenceSupervised learningMachine learningCriminal investigationChild Sexual Abuse Material (CSAM)
Automated Biometric Identification using Dorsal Hand Images and Convolutional Neural Networks
Automated Biometric Identification using Dorsal Hand Images and Convolutional Neural Networks
Auckland University of Technology
Research (peer reviewed)
Neural networksPerpetrators
Multimodal Virtual Avatars for Investigative Interviews with Children
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Research (peer reviewed)
Criminal investigationprosecution
Early Detection of Sexual Predators in Chats
Early Detection of Sexual Predators in Chats
Humboldt Universitat zu Berlin
Research (peer reviewed)
Natural Language ProcessingClustering/Classification
When “Sweetie” is not so Sweet: Artificial Intelligence and its Implications for Child Pornography
When “Sweetie” is not so Sweet: Artificial Intelligence and its Implications for Child Pornography
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Child Sexual Abuse Material (CSAM)prosecution
Keeping Children Safe Online With Limited
Resources: Analyzing What is Seen and Heard
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Resources: Analyzing What is Seen and Heard
Research (peer reviewed)
PreventionClustering/ClassificationNeural networks
Suspicious activity detection using deep learning in secure assisted living IoT environments
Suspicious activity detection using deep learning in secure assisted living IoT environments
Nalla Malla Engineering College, Galgotias University, Vellore Institute of Technology
Research (peer reviewed)
Child Sexual Abuse Material (CSAM)Neural networks
Prediction of the development of depression and post-traumatic stress disorder in sexually abused children using a random forest classifier
Prediction of the development of depression and post-traumatic stress disorder in sexually abused children using a random forest classifier
Uskudar University Medical Faculty, Istanbul, Turkey
Research (peer reviewed)
Clustering/ClassificationMachine learningPost-crime effortsChild-focusedPost-traumatic stress (PTS)
Illegal Online Sexual Behavior During the COVID-19 Pandemic
Illegal Online Sexual Behavior During the COVID-19 Pandemic
Research (peer reviewed)
PreventionPerpetratorsChild Sexual Abuse Material (CSAM)Financial transactions
Sexuella övergrepp via nätet lika allvarliga som IRL
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Child-focusedChild Sexual Abuse Material (CSAM)Prevention
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Child Sexual Abuse Material (CSAM)Prevention
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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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University of Edinburgh and George Mason University
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Child Sexual Abuse Material (CSAM)PerpetratorsCriminal investigationPrevention
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Child Sexual Abuse Material (CSAM)Criminal investigationMachine learningArtificial intelligence
Can Artificial Intelligence Achieve Human-Level Performance? A Pilot Study of Childhood Sexual Abuse Detection in Self-Figure Drawings
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Research (peer reviewed)
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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Child-focusedPost-traumatic stress (PTS)Post-crime efforts
Artificial Intelligence: combating online sexual abuse of children
Artificial Intelligence: combating online sexual abuse of children
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PreventionNeural networksChild Sexual Abuse Material (CSAM)
Out of the Shadows Whitepaper
Out of the Shadows Whitepaper
The Economist Intelligence Unit
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PreventionChild Sexual Abuse Material (CSAM)
What Works to Prevent Sexual Violence Against Children
What Works to Prevent Sexual Violence Against Children
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Child Sexual Abuse Material (CSAM)PreventionFinancial transactions
Child Online Safety:
Minimizing the Risk of Violence,
Abuse and Exploitation Online.
Child Online Safety:
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)
A Practitioner Survey Exploring the Value of Forensic Tools, AI, Filtering, & Safer Presentation for Investigating Child Sexual Abuse Material (CSAM)
University of New Haven / Digital Forensic Research Workshop
Research (peer reviewed)
Artificial intelligencePreventionNeural networks
Therabot: An Adaptive Therapeutic Support Robot
Therabot: An Adaptive Therapeutic Support Robot
Institute of Electrical and Electronics Engineers (IEEE) and Mississippi State University
Research (peer reviewed)
Post-crime effortsChild-focusedRoboticsPost-traumatic stress (PTS)
Offender strategies for engaging children in online sexual activity
Offender strategies for engaging children in online sexual activity
Department of Psychology, University of Gothenburg
Research (peer reviewed)
PreventionChild Sexual Abuse Material (CSAM)
Study on the Effects of New Information Technologies on the Abuse and Exploitation
of Children
Study on the Effects of New Information Technologies on the Abuse and Exploitation
of Children
Report
PreventionChild Sexual Abuse Material (CSAM)
Predictive Risk Modelling to Prevent Child Maltreatment and Other Adverse Outcomes for Service Users
Predictive Risk Modelling to Prevent Child Maltreatment and Other Adverse Outcomes for Service Users
Research (peer reviewed)
PreventionNeural networks