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1702470

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, how many fraudulent advance Universal Credit claims have been identified by his Department's machine learning algorithm.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22688
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>Publishing these figures would compromise our ability to prevent or detect fraud.</p><p> </p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22692 22693 22694 22695 question first answered 29/04/2024 16:01:24 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702472

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, what the cost per claim is for successfully identified fraudulent Universal Claims using his Department’s machine learning algorithm.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22690
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>The Department does not record this information.</p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22689 question first answered 29/04/2024 15:51:32 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702474

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, how many and what proportion of the advance Universal Credit claims flagged by his Department’s machine learning algorithm as potentially fraudulent were (a) from protected groups and (b) vulnerable claimants.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22692
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>Publishing these figures would compromise our ability to prevent or detect fraud.</p><p> </p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22688 22693 22694 22695 question first answered 29/04/2024 16:01:24 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702475

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, how many of the advance Universal Credit claims flagged by his Department’s machine learning algorithm as potentially fraudulent were from (a) protected groups and (b) vulnerable claimants.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22693
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>Publishing these figures would compromise our ability to prevent or detect fraud.</p><p> </p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22688 22692 22694 22695 question first answered 29/04/2024 16:01:24 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702476

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, how many and what proportion of the advance Universal Credit claims flagged by his Department’s machine learning algorithm as potentially fraudulent were found to be fraudulent.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22694
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>Publishing these figures would compromise our ability to prevent or detect fraud.</p><p> </p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22688 22692 22693 22695 question first answered 29/04/2024 16:01:24 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1702477

registered interest
date	19/04/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, how many and what proportion of the advance Universal Credit claims flagged by his Department’s machine learning algorithm as potentially fraudulent in which claimants were (a) from protected groups and (b) vulnerable claimants were found to be fraudulent.
tabling member constituency	Wallasey
tabling member printed	Dame Angela Eagle
uin	22695
answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>Publishing these figures would compromise our ability to prevent or detect fraud.</p><p> </p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard grouped question UIN 22688 22692 22693 22694 question first answered 29/04/2024 16:01:24 answering member 3926 label Biography information for Paul Maynard
tabling member	491 label Biography information for Dame Angela Eagle

1698887

registered interest
date	26/03/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, with reference to paragraph 4.58 of the Office for Budget Responsibility publication entitled Economic and Fiscal Outlook, published in March 2024, whether he has made an estimate of future trends in the level of fraud in Universal Credit claims.
tabling member constituency	Leicester West
tabling member printed	Liz Kendall
uin	20606
answer	answer is ministerial correction date of answer 15/04/2024 answer text <p>DWP produces forecasts of overpayments in the benefit system as part of its forecasts for benefit expenditure. These are reviewed and agreed by the Office for Budget Responsibility (OBR), which uses them as part of its fiscal forecasting and to evaluate policy costings.</p><p> </p><p>As per our commitment published in the Treasury Minutes, <a href="https://committees.parliament.uk/publications/43758/documents/217144/default/" target="_blank">CP 1029 – Treasury Minutes – Government Response to the Committee of Public Accounts on the Eightieth report from Session 2022-23 and the First to the Sixth reports from Session 2023-24 (parliament.uk)</a>, we will set out our forecast in the Annual Report and Accounts for financial year 23/24, expected to be published later this year.</p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard question first answered 15/04/2024 14:23:30 answering member 3926 label Biography information for Paul Maynard
tabling member	4026 label Biography information for Liz Kendall

1682874

registered interest
date	17/01/2024
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, what information his Department holds on the 18% of Universal Credit claims which contain an element of fraud.
tabling member constituency	Wirral South
tabling member printed	Alison McGovern
uin	10109
answer	answer is ministerial correction date of answer 22/01/2024 answer text <p>The 18% figure shown in Table 12 of the estimates on Fraud and Error in the benefit system during the financial year 2022 to 2023 is based on a randomly selected sample of UC claims. More detail on the causes of fraud and error in Universal Credit can also be found in Tables 3 and 4 of those statistics.</p><p> </p><p>The full estimates for fraud and error in the benefit system for 2022/2023, including the relevant tables, can be found here: <a href="https://www.gov.uk/government/statistics/fraud-and-error-in-the-benefit-system-financial-year-2022-to-2023-estimates" target="_blank">Fraud and error in the benefit system: financial year 2022 to 2023 estimates - GOV.UK (www.gov.uk)</a></p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard question first answered 22/01/2024 16:20:08 answering member 3926 label Biography information for Paul Maynard
tabling member	4083 label Biography information for Alison McGovern

1660574

registered interest
date	13/09/2023
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, what the average length was of investigations undertaken by his Department's serious fraud team into cases relating to Universal Credit in each of the last three years.
tabling member constituency	Lewisham, Deptford
tabling member printed	Vicky Foxcroft
uin	199483
answer	answer is ministerial correction date of answer 19/09/2023 answer text <p>We cannot break down the average length of investigations as this information is not recorded by our Economic Serious Organised Crime team (ESOC).</p><p> </p><p>DWP investigators seek to expedite all investigations as quickly as possible whilst ensuring they meet prosecution standards.</p> answering member constituency Corby answering member printed Tom Pursglove grouped question UIN 199503 question first answered 19/09/2023 15:17:04 answering member 4369 label Biography information for Tom Pursglove
tabling member	4491 label Biography information for Vicky Foxcroft

1642631

registered interest
date	07/06/2023
answering body	Department for Work and Pensions
answering dept id	29
answering dept short name	Work and Pensions
answering dept sort name	Work and Pensions
hansard heading	Universal Credit: Fraud
house id	1
legislature	25259 pref label House of Commons
question text	To ask the Secretary of State for Work and Pensions, pursuant to the Answer of 5 June 2023 to Question 186405 on Universal Credit: Fraud, whether he plans to publish the equalities assessment of trials using machine learning algorithms to detect fraud in claims for Universal Credit advances.
tabling member constituency	Leicester South
tabling member printed	Jonathan Ashworth
uin	188292
answer	answer is ministerial correction date of answer 12/06/2023 answer text <p>The DWP will not publish the equalities assessment (EA). Providing specific information contained within our EA would enable fraudsters to understand our services and the way our IT systems work, leading to new frauds and greater losses to the public purse.</p><p> </p> answering member constituency Corby answering member printed Tom Pursglove question first answered 12/06/2023 11:00:59 answering member 4369 label Biography information for Tom Pursglove
tabling member	4244 label Biography information for Jonathan Ashworth