Meers, Jed orcid.org/0000-0001-7993-3062, Stojanovic, Iva and Tomlinson, Joe (2026) Of Burdens and Bots: How Benefit Claimants Use Generative AI Chatbots. Social Policy & Administration. ISSN: 1467-9515
Abstract
We know an increasing amount about the use of AI tools by officials working across the design and delivery of the welfare state, but far less is understood about how those accessing support are making use of this technology themselves. This article presents an analysis of 271 chats that current recipients of Universal Credit and Personal Independence Payment in the UK held with commercial chatbots, such as ChatGPT, Claude, and Gemini. It is widely recognised that maintaining a claim for social security support imposes a range of administrative burdens on claimants, and our ‘chat mining’ data show that claimants use AI tools in a way which both reflects and reduces the learning, compliance, and psychological costs of these burdens. The article argues that claimant use of these tools is likely to have significant and unpredictable implications for social security administration.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
| Dates: |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Social Sciences (York) > The York Law School |
| Date Deposited: | 21 Oct 2026 11:38 |
| Last Modified: | 12 Nov 2026 00:16 |
| Published Version: | https://doi.org/10.1111/spol.70131 |
| Status: | Published online |
| Refereed: | Yes |
| Identification Number: | 10.1111/spol.70131 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:247000 |
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Description: How Benefit Claimants Use Generative AI Chatbots
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