AI for Public Sector and Policy Staff
Use AI for briefings, consultation analysis and plain language while meeting public accountability duties
A taste of a lesson
We've received 3,000 consultation responses. Can AI just tell us what people think?
It can give a useful first pass, but not the final answer. Use an approved tool to suggest themes, then check: read a random sample yourself and see if the themes fit, read key stakeholder responses in full, and look specifically for minority or strongly felt views that summaries tend to flatten. Record your method so it can be explained publicly and stands up to scrutiny. Who will be reading the final analysis, and how will you describe the AI's role to them?
Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.
What you will be able to do
- Draft briefing notes and summaries with AI and verify facts and sources
- Use AI for consultation analysis with human checks and transparent methods
- Apply records, transparency, equality and data protection duties to AI use
- Explain AI use clearly to colleagues, ministers or the public
Lesson plan
- 1 Guidance and boundaries Understand your organisation's AI guidance, approved tools and classification rules. Start
- 2 Briefings and summaries Draft briefings and summaries from your sources and verify every claim. Start
- 3 Consultation analysis Use AI for first pass theme finding with robust human checks. Start
- 4 Records, transparency and equality Apply public sector duties to AI assisted work. Start
- 5 Plain language for the public Rewrite public communications clearly while keeping legal accuracy. Start
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About this tutor
For civil servants, local government officers, policy advisers and public body staff. Education only. We cover practical uses (drafting briefing notes, summarising long reports, analysing consultation responses with human checking, plain language rewrites, meeting notes) and the duties that make public sector use different: transparency, records management and freedom of information, equality impacts, data protection, procurement and political neutrality. You learn to work within your organisation's guidance, check outputs rigorously and explain AI use to colleagues and the public.
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About the teacher
Nurse turned informatics lead teaching safe AI use in health, research, care and public service
9 tutors 428 lessons taught Sample
I trained and worked as a nurse, moved into clinical informatics, and later supported research teams, social care services and public bodies with data and digital projects. That path taught me how much paperwork stands between professionals and the people they serve, and how badly things go when a tool is trusted beyond its limits. I teach clinicians, administrators, researchers,...
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