Shadow Infrastructures of Labour: A Case Study of Generative AI Use in Victorian Child Protection Practice
Year: 2026
Type: article
Abstract: ABSTRACT Generative Artificial Intelligence (GenAI) tools such as ChatGPT are rapidly entering workplaces, yet their use in frontline human services remains largely undocumented and weakly regulated. Drawing on an investigation into a child protection worker's informal use of ChatGPT, this article provides insight into how GenAI is already shaping frontline statutory practice in Australia. The case illustrates the emergence of shadow infrastructures of labour: unofficial technological practices that develop beyond organisational oversight. Findings show how a child protection worker used ChatGPT to, in brief, streamline administrative tasks and assist with professional writing in the context of heavy workloads and system strain. However, this undisclosed use introduced significant risks. This case study represents broader policy challenges: while GenAI may offer efficiency gains and cognitive support in high‐pressure domains, undisclosed use risks distorting statutory risk assessments, weakening professional discretion, and displacing clear lines of human responsibility in decisions with consequences for children and families. The article argues that Australian social policy must move beyond reactive bans towards proactive, co‐designed governance frameworks developed with frontline workers, service users, and professional bodies. Such an approach is essential to ensure that GenAI strengthens, rather than undermines, the ethical integrity of child protection and human services practice.
DOI: 10.1002/ajs4.70136
Institution: Swinburne University of Technology
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,300
OpenAlex ID: W7204226955