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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

1702471

	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	Social Security Benefits: 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 total annual cost of his Department’s use of machine learning algorithms to identify fraudulent benefit claims is.
	tabling member constituency	Wallasey
	tabling member printed	Dame Angela Eagle
	uin	22689
	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 22690 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

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

1702473

	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	Social Security Benefits: Data Protection
	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 page 10 of the NAO's Report on Accounts 2022-2023, when his Department plans to report to Parliament on the impact of data analytics on protected groups and vulnerable claimants.
	tabling member constituency	Wallasey
	tabling member printed	Dame Angela Eagle
	uin	22691
	answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>The Department will include its first assessment in its Report and Accounts 2023-24.</p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard question first answered 29/04/2024 15:45:56 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

1702478

	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	Social Security Benefits: Underpayments
	house id	1
	legislature	25259 pref label House of Commons
	question text	To ask the Secretary of State for Work and Pensions, how many (a) large and (b) unusual underpayments have been referred for analysis since June 2023.
	tabling member constituency	Wallasey
	tabling member printed	Dame Angela Eagle
	uin	22696
	answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>DWP measures its underpayments via annual national statistics published each May. However, we do not produce an estimate for the value of a benefit underpayment.</p><p><strong> </strong></p><p>DWP conducts internal quality assurance checks focusing on financial accuracy and service quality.</p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard question first answered 29/04/2024 15:42:35 answering member 3926 label Biography information for Paul Maynard
	tabling member	491 label Biography information for Dame Angela Eagle

1702479

	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	Fraud and Maladministration
	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 4.2 of the report by the National Audit Office entitled Department for Work and Pensions Accounts 2022-23, published on 6 July 2023, whether it remains his Department's plan to bring forward a Fraud and Error Bill.
	tabling member constituency	Wallasey
	tabling member printed	Dame Angela Eagle
	uin	22697
	answer	answer is ministerial correction date of answer 29/04/2024 answer text <p>As mentioned by the Prime Minister on 19<sup>th</sup> April, we are also preparing a new fraud bill for the next Parliament, which will align DWP with HMRC so that we treat benefit fraud like tax fraud with new powers to make seizures and arrests and will also enable penalties to be applied to a wider set of fraudsters through a new civil penalty.</p> answering member constituency Blackpool North and Cleveleys answering member printed Paul Maynard question first answered 29/04/2024 15:50:05 answering member 3926 label Biography information for Paul Maynard
	tabling member	491 label Biography information for Dame Angela Eagle