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Division Vote (Commons)
15 May 2024 - Criminal Justice Bill - View Vote Context
Peter Kyle (Lab) voted Aye - in line with the party majority and against the House
One of 148 Labour Aye votes vs 0 Labour No votes
Vote Tally: Ayes - 171 Noes - 272
Division Vote (Commons)
15 May 2024 - Criminal Justice Bill - View Vote Context
Peter Kyle (Lab) voted Aye - in line with the party majority and against the House
One of 147 Labour Aye votes vs 0 Labour No votes
Vote Tally: Ayes - 167 Noes - 275
Written Question
Artificial Intelligence: Government Departments
Tuesday 14th May 2024

Asked by: Peter Kyle (Labour - Hove)

Question to the Department for Science, Innovation & Technology:

To ask the Secretary of State for Science, Innovation and Technology, pursuant to the Answer of 22 February 2024 on Government Departments: Artificial Intelligence, whether the detailed policy for the Algorithmic transparency recording standard has been agreed across all departments; and whether he has a planned timeline for compliance.

Answered by Saqib Bhatti - Parliamentary Under Secretary of State (Department for Science, Innovation and Technology)

We are implementing the mandatory rollout of the ATRS in phases, with the current, first phase focusing on the 16 largest ministerial departments, plus HMRC.

The Department of Science, Innovation and Technology and the Central Digital and Data Office are working with these departments to map their in-scope algorithmic tools and draft their first ATRS records accordingly. These departments have now all reviewed a draft version of the scope and exemptions policy. We expect to circulate a finalised version of the policy by the end of May.

Regarding timelines for the wider rollout, expect these Phase One departments to publish their first ATRS records by the end of July. Departments finding no tools in scope will be required to submit a nil return. This will be followed by the next phase which involves extending the mandatory rollout to the remaining ministerial departments, and relevant arm’s-length bodies, from July onwards which the Central Digital and Data Office will monitor.


Division Vote (Commons)
13 May 2024 - Risk-based Exclusion - View Vote Context
Peter Kyle (Lab) voted Aye - in line with the party majority and in line with the House
One of 121 Labour Aye votes vs 0 Labour No votes
Vote Tally: Ayes - 170 Noes - 169
MP Financial Interest
Peter Kyle (Labour - Hove)
Original Source (13th May 2024)
2. (b) Any other support not included in Category 2(a)
Name of donor: Faculty AI
Address of donor: 5th Floor, 160 Old Street, London EC1V 9BW
Amount of donation or nature and value if donation in kind: Provision of a secondee to provide technical expertise and policy research on AI one day a week, value £36,000
Date received: 1 May 2024 to 28 June 2024
Date accepted: 1 May 2024
Donor status: company, registration 08873131
(Registered 1 May 2024)

Written Question
Department for Science, Innovation and Technology: Public Expenditure
Monday 13th May 2024

Asked by: Peter Kyle (Labour - Hove)

Question to the Department for Science, Innovation & Technology:

To ask the Secretary of State for Science, Innovation and Technology, pursuant to the Answer of 22 April 2024 to Question 22348 on Public Expenditure, what his planned timetable is for publishing the response to David Willetts’ report.

Answered by Andrew Griffith - Minister of State (Department for Science, Innovation and Technology)

DSIT published the response to Lord Willetts’ independent review of the DSIT business case and approvals process on 1 May on gov.uk: https://www.gov.uk/government/publications/reforming-the-dsit-business-case-process


Written Question
Lung Cancer: Artificial Intelligence
Monday 13th May 2024

Asked by: Peter Kyle (Labour - Hove)

Question to the Department of Health and Social Care:

To ask the Secretary of State for Health and Social Care, pursuant to the Answer of 7 May 2024 to Question 24269 on Lung Cancer: Artificial Intelligence, which (a) NHS trusts have and (b) imaging network has not received funding.

Answered by Andrew Stephenson - Minister of State (Department of Health and Social Care)

Since the initial announcements regarding funding for National Health Service trusts to integrate artificial intelligence into lung cancer imaging, adjustments have been made to the list of participants. Three trusts have withdrawn from the initiative, and five additional trusts have been onboarded, due to the inclusion of a new imaging network. As a result, as set out in the answer of 7 May 2024, there are now 66 trusts across 12 imaging networks that are participating in this initiative.

In the answer of 7 May 2024, 63 out of 66 trusts, in 11 of 12 imaging networks, had received funding. It is now confirmed that all 66 trusts in the 12 imaging networks participating have received or are in the process of receiving funding. These trusts are currently implementing artificial intelligence technologies to enhance diagnostic capabilities in lung cancer, consistent with the Government's commitment to advancing healthcare technology across the NHS.


Written Question
Artificial Intelligence: Elections
Thursday 9th May 2024

Asked by: Peter Kyle (Labour - Hove)

Question to the Department for Science, Innovation & Technology:

To ask the Secretary of State for Science, Innovation and Technology, whether the AI Safety Institute plans to carry out testing on the societal impacts of AI on elections.

Answered by Saqib Bhatti - Parliamentary Under Secretary of State (Department for Science, Innovation and Technology)

The AI Safety Institute has responsibility for developing and conducting evaluations on advanced AI systems, including assessing potentially harmful capabilities. As part of this, it will evaluate the direct impact of advanced AI systems on individuals and society - including how people are affected by interacting with these systems and the ways AI systems are being used in both private and professional contexts. Part of this work will explore the impacts of frontier AI on democracy, including elections. The Institute is collaborating on this with key partners in the UK ecosystem – initially with the Alan Turing Institute.

The Government takes the integrity and security of our democratic processes very seriously and is working to ensure we are ready to respond to the full range of threats to our democratic processes, including through the Defending Democracy Taskforce.


Written Question
Semiconductors: Infrastructure
Wednesday 8th May 2024

Asked by: Peter Kyle (Labour - Hove)

Question to the Department for Science, Innovation & Technology:

To ask the Secretary of State for Science, Innovation and Technology, pursuant to the Answer of 2 May 2024 to Question 24088 on Semiconductors: Infrastructure, if she will respond to the recommendations of the UK Semiconductor Infrastructure Initiative feasibility study, published in 2023; and if will publish that response.

Answered by Saqib Bhatti - Parliamentary Under Secretary of State (Department for Science, Innovation and Technology)

The UK has a thriving R&D innovation semiconductor ecosystem and the Government’s National Semiconductor Strategy sets out our ambitious vision for the UK’s sector.

The Government has commissioned the UK Semiconductor Infrastructure Initiative feasibility study to increase access for companies to the research infrastructure they need to support commercialisation.

The feasibility study was recently completed, and the Government is considering its analysis.


Written Question
Lung Cancer: Artificial Intelligence
Tuesday 7th May 2024

Asked by: Peter Kyle (Labour - Hove)

Question to the Department of Health and Social Care:

To ask the Secretary of State for Health and Social Care, with reference to her Department's press release entitled AI to speed up lung cancer diagnosis deployed in NHS hospitals, published on 30 October 2023, how many of the NHS trusts listed have (a) received funding and (b) rolled out AI tools to speed up the diagnosis and treatment of lung cancer.

Answered by Andrew Stephenson - Minister of State (Department of Health and Social Care)

Since the original announcement, two additional trusts have been included in this initiative, bringing the total to 66, from the previously announced 64. Funding to deploy artificial intelligence (AI) to speed up the diagnosis and treatment of lung cancer has so far been provided to 63 of the 66 trusts participating. This represents 11 of the 12 participating imaging networks. The remaining imaging network has recently completed its procurement process, with a finalised outcome expected soon. All 63 funded trusts are currently in the process of deploying the AI technologies. We anticipate the first trusts will begin utilising these technologies for patient care from May 2024.