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Beyond Predictive Analytics in Child Welfare
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01 July 2027
Debbie Watson is Professor of Child and Family Welfare at the University of Bristol.
Dan McQuillan is Lecturer in Creative and Social Computing at Goldsmiths College, University of London.
Lisa May Thomas is Senior Research Associate at the Centre for Sociodigital Futures, University of Bristol.
1. Introduction - Debbie Watson, Dan McQuillan and Lisa May Thomas
Part I: The Problem with Algorithmic Prediction
2. AI in Social Care: Evidence, Efficacy, and the Politics of Adoption - Dan Bogiatzis-Gibbons
3. For the Good of the Child? Policy and Impact of Decision Support Algorithms Used on Children - Tess S. Skadegard Thorsen and Vedran Sekara
4. Think Family: Reproducing Inequalities Through Automated Decision Making - Debbie Watson and Lisa May Thomas
5. Gender Bias in Digital Welfare Fraud Investigation - Anna Dent
Part II: Hidden Voices in the ‘Machine’
6. Suspicious Minds: Data Tools and the Criminalisation of Children and Families - Val Gillies and Ros Edwards
7. “You Know It’s Nonsense, But it’s Kind of Attractive”: Frontline Experiences with AI Tools in Child Welfare - Imogen Parker and Laura Carter
8. Producing Critical Practitioners Through Interrogating the Algorithmic Lifepath - Emily Keddell
Part III: Who Do We Hold to Account: Resisting/Investigating Predictive Systems
9. Investigating Suspicion Machines: Lessons from Journalism on Holding Social Services Algorithms Accountable - Gabriel Geiger
10. An Enquiry Into the Philosophical Genealogy of Predictive Analytics in Child Welfare: The Illustrative Case of Street-based Youth Work and the Evolution of ‘At Risk-ism’ - Graeme Tiffany
11. AI and the Elimination of Care - Dan McQuillan
Conclusion - Debbie Watson, Dan McQuillan and Lisa May Thomas