Risk model to detect fraud
Katarzyna Figiel made this Freedom of Information request to Department for Work and Pensions
Dear Department for Work and Pensions,
Your 2021-22 accounts, (https://assets.publishing.service.gov.uk...) published on 7 July 2022, refer at paragraph 48 of the Report of the Comptroller and Auditor General (“the report”) (https://www.nao.org.uk/wp-content/upload...) to a “risk model to detect fraud in Universal Credit advances claims” (“the model”).
The model uses a machine learning algorithm to conduct an “analysis” of “information from historical fraud cases” and “predict which cases are likely to be fraudulent in the future”. The Department states that “cases scored as potentially fraudulent by the model are flagged to caseworkers, who then prioritise the review and processing of such cases accordingly".
Please provide the following information on the model:
1. Are all claims that are deemed to ‘look fraudulent’ by the model and so referred substantively investigated for possible error / fraud by a person?
a) Or, does a person first (by way of a preliminary decision-making stage) consider a referral from the model and decide whether or not to undertake a substantive investigation for possible error / fraud?
b) If so, what proportion of claims identified and referred by the model are ultimately substantively investigated?
2. What proportion of claims that are deemed to ‘look fraudulent’ by the model are suspended?
3. A breakdown of claims identified by the model as being potentially fraudulent by the claimant’s form of nationality, immigration status and sex.
4. The proportion of claims that the model identifies as being potentially fraudulent that are subsequently reinstated (i.e. what is the error rate of the model?).
In the event that you determine some of the information I have requested to be exempt from disclosure, please redact exempt information with black boxes, instead of snipping or excerpting, and please state which category of exemption you believe applies to the information.
If it is not possible to provide the information requested due to the cost of compliance limit identified in s.12 FOIA, please prioritise information relating to questions (1) and (3).
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Dear Katarzyna Figiel,
I am writing in response to your request for information, received 24th
DWP Central FoI Team
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J Roberts left an annotation ()
Some people may be interested in this:
Kate Osamor: 
'To ask the Secretary of State for Work and Pensions, how many benefits claims suspended by the risk review team have been (a) closed and (b) remain suspended.'
'As of 11th February 2023, the cumulative total of customer cases suspended by the Risk Review Team is 188,119. Of these, 71,496 have been closed and 109,402 remain suspended. The remaining 7,221 have been reinstated following review.'
'As part of this inquiry, we consulted with a range of technical suppliers, a representative sample of local authorities across the country and the Department for Work and Pensions.
In this instance, we have not found any evidence to suggest that claimants are subjected to any harms or financial detriment as a result of the use of algorithms or similar technologies in the welfare and social care sector. It is our understanding that there is meaningful human involvement before any final decision is made on benefit entitlement. Many of the providers we spoke with confirmed that the processing is not carried out using AI or machine learning but with what they describe as a simple algorithm to reduce administrative workload, rather than making any decisions of consequence.'