Debates between Shabana Mahmood and Allison Gardner during the 2024 Parliament

Oral Answers to Questions

Debate between Shabana Mahmood and Allison Gardner
Monday 23rd March 2026

(1 week, 2 days ago)

Commons Chamber
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Allison Gardner Portrait Dr Allison Gardner (Stoke-on-Trent South) (Lab)
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6. What steps her Department is taking to use technology to increase police efficiency.

Shabana Mahmood Portrait The Secretary of State for the Home Department (Shabana Mahmood)
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Before I give my answer, I want to pay my respects to PC Bradley Corke, who sadly lost his life yesterday in the line of duty. My thoughts and those of the whole House, I am sure, are with his family and friends.

On the matter of police efficiency, we must seize the opportunity to transform policing through technology. Through the creation of a national police service, we will invest £115 million in artificial intelligence and automation, saving 6 million policing hours every year.

Allison Gardner Portrait Dr Gardner
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Live facial recognition technology is being deployed across the country to support the police to prevent and detect crime. While I recognise the importance of improving police efficiency, we have also seen a number of wrongful arrests linked to the use of live facial recognition systems, and only last week one police force paused the use of facial recognition due to racial bias. In the light of that, will the Secretary of State reassure the House that deployment, oversight and auditing of facial recognition technologies are subject to robust and transparent safeguards, and will she state when the facial recognition framework will be published?

Shabana Mahmood Portrait Shabana Mahmood
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I can give my hon. Friend that reassurance. We are absolutely clear that police forces must comply with data protection, human rights, equality and other relevant laws. This means that the police can use live facial recognition only for targeted, intelligence-led and time-bound deployments to locate specific individuals on a watchlist, such as wanted offenders or people who may pose a risk of serious harm. My hon. Friend knows that we have consulted on a legal framework on how and when law enforcement should use biometrics and facial recognition. The consultation is closed, and we are going through the responses now. We will bring forward proposals to the House in due course.

Oral Answers to Questions

Debate between Shabana Mahmood and Allison Gardner
Monday 9th February 2026

(1 month, 3 weeks ago)

Commons Chamber
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Allison Gardner Portrait Dr Allison Gardner (Stoke-on-Trent South) (Lab)
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13. What steps her Department is taking to use technology to increase police efficiency.

Shabana Mahmood Portrait The Secretary of State for the Home Department (Shabana Mahmood)
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We are investing a record £140 million in state-of-the-art technology to make our communities safer, including the roll-out of the live facial recognition technology that is already transforming policing. Investing in technology means more time for the police to be where we want them, which is out on the streets fighting and deterring crime in our communities.

Allison Gardner Portrait Dr Gardner
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I recently met Home Office Ministers to discuss the use of synthetic cathinones, often referred to as monkey dust, in Stoke-on-Trent. These substances cause significant harm to users and, indeed, communities. They are frequently sold via the dark web and imported through the post. Can the Secretary of State provide an update on her work with the National Crime Agency and Royal Mail to detect illicit substances using technology, and advise whether existing opioid detection methods can be adapted or applied to synthetic cathinones?

Shabana Mahmood Portrait Shabana Mahmood
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I thank my hon. Friend for raising the scourge of synthetic cathinones. Let me assure her that the work of the National Crime Agency, Royal Mail and others continues apace. The use of synthetic drugs is a concerning development in the global drugs market, but this Government and law enforcement are taking action. We continue to innovate and seek new methods for screening and identifying drugs using emerging technologies, including AI, to tackle this challenge.