Beyond Predictive Analytics in Child Welfare

1. Auflage 2027
ISBN: 978-1-5292-6170-7
Verlag: Bristol University Press

Buch, Englisch, 192 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Sociodigital Futures

Available open access digitally under CC-BY-NC-ND licence. Child welfare services increasingly rely on algorithms to decide when families face intervention. Drawing on cases from England, New Zealand, Denmark and the Netherlands, this book asks what’s really being automated when a machine is asked to help decide a child’s future.

Autoren/Hrsg.

Watson, Debbie

McQuillan, Dan

May Thomas, Lisa

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Ethische Themen & Debatten: Wissenschaft, Technologie, Medizin
• Interdisziplinäres Wissenschaften Wissenschaft und Gesellschaft | Kulturwissenschaften
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Arbeit/Sozialpädagogik Soziale Arbeit/Sozialpädagogik: Familie, Kinder, Jugendliche
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV

Inhaltsverzeichnis

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

Über Autor(innen)

McQuillan, Dan
Dan is a Lecturer in Creative and Social Computing. He has a degree in Physics from Oxford and a PhD in Experimental Particle Physics from Imperial College, London. After his PhD he was a support worker for people with learning disabilities and volunteered as a mental health advocate, informing people in psychiatric detention about their rights. In the early days of the world wide web, he started a pioneering website to provide translated information for asylum seekers and refugees. When open source hardware sensors started appearing he co-founded a citizen science project in Kosovo, supporting politically excluded young people to measure pollution levels and get the issue of air quality onto their national agenda. After a stint working in the NHS he joined Amnesty International and created their first digital directorate. Dan has been involved in many grassroots social movements such as the campaign against the Poll Tax in the UK, and in environmental activism. He was part of the international movement in Genoa in 2001 which was protesting against the G8 and calling for an alternative globalisation that included justice for both people and planet. During the first wave of Covid-19 he helped to start a local mutual aid group where he lives in North London. He can be contacted on [e-mail].

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.