Who is analysing what? The opportunities, risks and implications of using predictive risk modelling with Indigenous Australians in child protection: A scoping review. Issue 2 (28th March 2021)
- Record Type:
- Journal Article
- Title:
- Who is analysing what? The opportunities, risks and implications of using predictive risk modelling with Indigenous Australians in child protection: A scoping review. Issue 2 (28th March 2021)
- Main Title:
- Who is analysing what? The opportunities, risks and implications of using predictive risk modelling with Indigenous Australians in child protection: A scoping review
- Authors:
- Krakouer, Jacynta
Wu Tan, Wei
Parolini, Arno - Abstract:
- Abstract: Predictive risk modelling using administrative data is increasingly being promoted to tackle complex social policy issues, including the risk of child maltreatment and recurring involvement with child protection systems. This paper discusses opportunities and risks concerning predictive risk modelling with administrative datasets to address Indigenous Australian overrepresentation in Australian child protection systems. A scoping review using five databases, and the Google search engine, examined peer‐reviewed and grey literature on risks associated with predictive risk models (PRMs) for racial and ethnic populations in child protection systems, such as Indigenous Australians. The findings revealed a dearth of research, especially considering Indigenous populations. Although PRMs have been developed for Australian child protection systems, no empirical research was found in relation to Indigenous Australians. The implications for utilising administrative data to address Indigenous Australian overrepresentation are discussed, focusing on methodological limitations of predictive analytics, and notions of fairness and bias. Participatory model development, transparency and Indigenous data sovereignty are crucial to ensure the development of fair and unbiased PRMs in Australian child protection systems. Yet, while PRMs may offer substantial benefits as decision support tools, significant developments – which fully include Indigenous Australians – are needed before theyAbstract: Predictive risk modelling using administrative data is increasingly being promoted to tackle complex social policy issues, including the risk of child maltreatment and recurring involvement with child protection systems. This paper discusses opportunities and risks concerning predictive risk modelling with administrative datasets to address Indigenous Australian overrepresentation in Australian child protection systems. A scoping review using five databases, and the Google search engine, examined peer‐reviewed and grey literature on risks associated with predictive risk models (PRMs) for racial and ethnic populations in child protection systems, such as Indigenous Australians. The findings revealed a dearth of research, especially considering Indigenous populations. Although PRMs have been developed for Australian child protection systems, no empirical research was found in relation to Indigenous Australians. The implications for utilising administrative data to address Indigenous Australian overrepresentation are discussed, focusing on methodological limitations of predictive analytics, and notions of fairness and bias. Participatory model development, transparency and Indigenous data sovereignty are crucial to ensure the development of fair and unbiased PRMs in Australian child protection systems. Yet, while PRMs may offer substantial benefits as decision support tools, significant developments – which fully include Indigenous Australians – are needed before they can be used with Indigenous Australians. … (more)
- Is Part Of:
- Australian journal of social issues. Volume 56:Issue 2(2021)
- Journal:
- Australian journal of social issues
- Issue:
- Volume 56:Issue 2(2021)
- Issue Display:
- Volume 56, Issue 2 (2021)
- Year:
- 2021
- Volume:
- 56
- Issue:
- 2
- Issue Sort Value:
- 2021-0056-0002-0000
- Page Start:
- 173
- Page End:
- 197
- Publication Date:
- 2021-03-28
- Subjects:
- bias -- child protection -- Indigenous peoples -- machine learning -- predictive risk modelling
Australia -- Social policy -- Periodicals
Social service -- Australia -- Periodicals
Australia -- Social conditions -- Periodicals
Social conditions
Social service
Social policy
Australia
Periodicals
362.99405 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1839-4655 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ajs4.155 ↗
- Languages:
- English
- ISSNs:
- 0157-6321
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1812.550000
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British Library HMNTS - ELD Digital store - Ingest File:
- 23505.xml