DSIT launches responsible AI panel to guide ethical use in government
James
The Department for Science, Innovation and Technology (DSIT) has announced the formation of a new Responsible AI Advisory Panel to guide how artificial intelligence is developed and deployed across the UK public sector.
It is being established to ensure that as AI becomes more embedded in government operations - such as helping speed up medical diagnoses, automating back-office tasks, and improving citizen services - it is implemented ethically, transparently, and in a way that retains public trust.
Comprising 8 to 12 external experts, the panel will offer independent advice and challenge to the Government Digital Service (GDS), part of DSIT, as it leads AI transformation efforts across departments. Members will advise senior officials and ministers, including the Minister for AI and Digital Government, Feryal Clark MP, and Emily Middleton, Director General for Digital Centre Design.
The initiative follows key strategic frameworks, including the AI Opportunities Action Plan and the Blueprint for Modern Digital Government. It marks a significant step in embedding responsibility and accountability into government AI projects from the outset.
The panel is expected to meet quarterly during its initial one-year term. Its role includes providing strategic insight on responsible AI practices and scrutinising government proposals to ensure they align with public interest, legal standards, and ethical considerations.
DSIT is currently seeking expressions of interest from individuals with expertise in AI, digital ethics, and public service delivery. The department is particularly keen to attract people who can offer diverse perspectives - whether through lived experience, research, or frontline engagement with digital services. Applications are open until noon on Monday 18 August 2025.
According to DSIT, the ideal panel will represent a mix of technical knowledge and practical understanding of how AI affects people and services ensuring that government decisions are informed by real-world impacts. The first panel meeting is scheduled for early October. Updates on panel membership and its early priorities will be shared in future GDS blogs.
