Parenting Journal · Volume 1 · Issue 2 · Licensed source edition
Artificial Intelligence and Child Abuse and Neglect: A Systematic Review
Originally published 2023-10-06 · Children
Multidisciplinary Digital Publishing Institute (MDPI) · DOI 10.3390/children10101659 ↗
AI / system type
Mixed predictive AI / systematic evidence review
Family implicationsDesign, ethics, stakeholder or technical evidence with child/family implications; household benefits are not assumed.
The AI connection
Reviews machine-learning and related AI models developed or validated using medical or protective-service data about child maltreatment.
Why this reading matters
Makes uncertainty and bias explicit in a domain where false inferences could have serious consequences for families.
Editorial reading guide · Respect
How reliable is the evidence behind AI systems intended to identify child abuse or neglect?
The review connects respect for vulnerable children and families with scrutiny of evidence quality before automated risk predictions influence protective systems.
Study context
Seven AI prediction-model papers identified from a PubMed search
Age / stage: Child abuse and neglect datasets; ages vary
Read with three questions
- Which models and data sources were included?
- What did the risk-of-bias assessment find?
- Why are retrospective performance estimates insufficient for high-stakes family decisions?
Keep the limits in view
All included studies had high risk of bias. The review searched one database and English-language papers only, with heterogeneous designs; it does not establish safe clinical or child-protection implementation.
The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.
Opening the verified paper and agent…
Checking the article identity, license record, and saved source text.
Open the repository recordAttribution & reuse
Follow the original.
Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.
Francesco Lupariello; Luca Sussetto; Sara Di Trani; Giancarlo Di Vella; Eva Möhler (2023). Artificial Intelligence and Child Abuse and Neglect: A Systematic Review Children. https://doi.org/10.3390/children10101659
Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.