The AidGPT programme
Responsible AI training for complex, accountable work.
Build practical AI capability through live practice, visible safeguards and professional judgement.
Six live sessions. Synthetic practice. Accountable human decisions.
Programme shape
Six live sessions
The experience builds from ordinary chat and well-briefed work towards reusable setup, bounded reach, work across files with checkpoints and accountable adoption.
- Human judgement
- Think, Draft, Review. An accountable human decides.
- Bounded reach
- Use the least power needed for the task.
- Accountable work
- AI is useful only when a professional can explain, check and own the result.
Observable outcomes
What learners should be better able to do
By the end of the programme, learners should be better able to:
- Outcome 1:brief one meaningful task with enough context and a clear standard of quality
- Outcome 2:challenge a first answer and show what was checked
- Outcome 3:save useful context and reusable working patterns deliberately
- Outcome 4:use connected capabilities with bounded reach and explicit stop decisions
- Outcome 5:work across files with checkpoints and ownership
- Outcome 6:decide what should be adopted, governed or left alone
Practice without production data
AidGPT is developing a visible training environment where learners can practise more capable AI workflows using fictional records. Publication of connected features follows product acceptance testing.
- Product state
- Connected Glass Box features remain subject to product acceptance testing.
- Data boundary
- The course does not require real organisational or personal data.
- Assessed practice uses synthetic records.
- Think, Draft, Review keeps the decision with an accountable human.
Transfer to work
Learn the discipline before applying it
The course does not require real organisational or personal data. Learners may later apply the disciplines to approved work through their organisation’s authorised tools, policies and authority.