1. Unveiling algorithmic power: exploring the impact of automated systems on disabled people's engagement with social services.
- Author
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van Toorn, Georgia and Scully, Jackie Leach
- Subjects
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DISABILITY insurance , *HUMAN services programs , *SOCIAL services , *INTERVIEWING , *DECISION making , *THEORY of knowledge , *ELIGIBILITY (Social aspects) , *AUTOMATION , *PEOPLE with disabilities , *SOCIAL participation , *ALGORITHMS - Abstract
This article examines the impact of algorithmic systems on disabled people's interactions with social services, focusing on a case study of algorithmic decision-making in Australia's National Disability Insurance Scheme (NDIS). Through interviews and document analysis, we explore future visions and concerns related to increased automation in NDIS planning and eligibility determinations. We show that while individuals may not fully comprehend the inner workings of algorithmic systems, they develop their own understandings and judgments, shedding light on how power operates through the datafication of disability. The article highlights the significance of addressing epistemic justice concerns, urging a reevaluation of dominant modes of understanding and assessing disability through algorithmic categorisation, while advocating for more nuanced approaches that acknowledge disability's embeddedness in social relations. The findings have implications for the future use of algorithmic decision-making in the NDIS and disability welfare provision more broadly. Points of Interest: Computer-based tools, or algorithms, are increasingly being used to assess who is eligible for public disability programs. This research investigates disabled people's concerns about the use of these tools. It uses a case study from Australia, where algorithmic assessments were recently proposed and trialled by the government. Concerns about technology's impact on resource allocation in disability support regimes include insensitivity to individual lived realities and reduction of disability to a score of bodily functionality. To avoid harm to disabled people, the research recommends an approach to assessment that better addresses contextual factors and lived experiences of disability. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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