dfe-analytical-services / dfe-analytical-services/analysts-guide
[Feature]: Guidance on how we use AI within the DfE
- Dominant language
- R
- Stars
- 6
- Forks
- 9
- PR merge metrics
- No merged PRs in 30d
Description
### Description
Suggested at the DISD away day, we could do with a framework around how we expect AI to be used by analysts within the DfE.
I guess sections along the lines of:
- Using AI prompting to generate draft FOI / PQ responses
- How AI is used in EES
- How AI can be used to optimise code
- vectorisation
- code consolidation (converting to functions)
- AI in QA
### Use case
As an analyst I want to know how I can / should use AI in my day to day work
### Why this is important
Help give analysts confidence / security on how they can use AI
### Additional Context
Would be good to break this up and get input / case studies from teams on how they do some of this.
Contributor guide
Research direction
Start by turning the listed use cases into a proposed guidance structure and gather input or case studies from the relevant teams. Done means analysts can find clear, confidence-building guidance for prompting, EES, code optimisation, and QA, including how AI should and should not be used.
Written by the indexing model from the issue text.
Assessment
- Domain
- ai, documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100