Ethical considerations in research when building predictive risk modelling in child and family welfare
This article presents and discusses ethical issues and implications in research when building a predictive risk model for potential use in Danish child and family welfare. The idea is to build a predictive risk model in order to study whether such a model can be valuable to child and family welfare services in the assessment of risk – aimed specifically at the decision-making process regarding notifications. Based on a framework developed especially for this field, we present and discuss ethical considerations, reflections and actions in relation to four main ethical principles: non-maleficence, autonomy, justice and explicability. We hope that our reflections on these ethical challenges can inspire research – and potentially also the field of practice when taking a deep dive into the difficult field of digitalization in social work.
Authors
- Liesanth Yde Nirmalarajan (ORCID: https://orcid.org/0000-0002-4236-9872)
- Michael Rosholm (ORCID: https://orcid.org/0000-0001-8360-2127)
- Anne Marie Villumsen (ORCID: https://orcid.org/0000-0001-9198-1040)
- Simon Tranberg Bodilsen (ORCID: https://orcid.org/0000-0002-6735-8475)
- Line Berg
Institutions
- Aarhus University (DK)
- Aarhus Business College (DK)
- Troitsk Institute for Innovation and Fusion Research (RU)
- Trøndelag Forskning og Utvikling (Norway) (NO)
- VIVE - The Danish Center for Social Science Research (DK)
Publication Details
- Journal
- Journal of Comparative Social Work
- Published
- 2024-10-03
- DOI
- https://doi.org/10.31265/jcsw.v19i1.619
- Citations
- 2
- Primary Topic
- Education, Healthcare and Sociology Research
- Type
- article
- Field-Weighted Citation Impact
- 1.29