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AI Guidance Explorer
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Alpha This is a prototype. Answers cite UK public sector AI guidance from incorporated sources.

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Categories

  • Getting started
  • Lawful, ethical and responsible use
  • Security and safe use of tools
  • Buying and building
  • Delivery, assurance and operations
  • Collaboration and reuse

Getting started

  • What is AI, and what are its main limitations in a government context?
  • When is AI the right tool for the job, and when should I use something else?
  • How do I write effective prompts for AI assistants?
  • Should AI augment my work or automate tasks independently?
  • How should I check and verify AI outputs before I use them?
  • How do I use AI ethically and sustainably day to day?
  • What kinds of AI use cases work well in government?
  • Which AI use cases should I avoid?
  • Do I need an AI strategy or governance board before I start my first project?
  • What skills and roles do I need on an AI project team?
  • Where can civil servants get training on AI?
  • When should I use the Data and AI Ethics Framework?
  • Should my team use the Data and AI Ethics Self-Assessment Tool?
  • What is AI assurance?
  • How does AI assurance relate to the UK’s five AI regulatory principles?
  • Is there statutory AI regulation in the UK I must follow for assurance?
  • Where can I find ready-made prompts for government AI work?
  • Should I trust unverified prompts from the AI Knowledge Hub?
  • What is the Scan → Pilot → Scale approach to government AI adoption?
  • Should each government mission have an AI lead?

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About

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  • Made by Peter Kappus

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Prototype catalogue of UK public sector AI guidance. Not an official GOV.UK service. Guidance excerpts © Crown copyright, used under the Open Government Licence v3.0.

© Crown copyright