Asked by: Alex Burghart (Conservative - Brentwood and Ongar)
Question to the Department for Science, Innovation & Technology:
To ask the Secretary of State for Science, Innovation and Technology, pursuant to the answer of 3 September 2024 to Question 1967 on Incubator for Artificial Intelligence, by when he plans to have the agreed full-time headcount of 70 staff employed.
Answered by Feryal Clark - Parliamentary Under Secretary of State (Department for Science, Innovation and Technology)
i.AI is building to a full complement of 70FTE. Recruitment was paused due to the pre-election period and will resume shortly.
Asked by: Alex Burghart (Conservative - Brentwood and Ongar)
Question to the Department for Science, Innovation & Technology:
To ask the Secretary of State for Science, Innovation and Technology, what the (a) current and (b) planned full-time equivalent headcount of i.AI is.
Answered by Feryal Clark - Parliamentary Under Secretary of State (Department for Science, Innovation and Technology)
As a new team i.AI is still recruiting to fill the agreed full-time headcount of 70 staff. The current equivalent headcount is 43.
Asked by: Alex Burghart (Conservative - Brentwood and Ongar)
Question to the Department for Science, Innovation & Technology:
To ask the Secretary of State for Science, Innovation and Technology, what steps he is taking to ensure that departments have access to high quality predictive modelling.
Answered by Feryal Clark - Parliamentary Under Secretary of State (Department for Science, Innovation and Technology)
Predictive modelling is widely used across government departments, including DSIT, and is implemented by analysts from the various analytical professions. These professions are brought together by the ONS-based Analysis Function, which co-ordinates analytical standards, including learning and training resources, and quality assurance. The Central Digital and Data Office (CDDO), which is now part of DSIT, is driving cross-government AI-adoption plans which will increase departments’ access to high quality predictive modelling. CDDO develops standards and guidance for AI adoption, including the Algorithmic Transparency Recording Standards which support the National Data Strategy commitment to explore an appropriate and effective way to deliver greater transparency on algorithm-assisted decision making in the public sector.