Responsible AI Use at Work
Covers the judgement calls staff face daily: what data may go into a tool, when a human must review, and how to record what was done. Delivered against your organisation's own AI policy.
Runs most often inFinancial services and bankingHealthcare and life sciencesPublic sectorProfessional servicesEducation
What participants can do afterwards
- Classify what information may and may not be entered into an AI tool
- Identify tasks that require a human decision maker
- Recognise bias and unfair outcomes in AI-assisted work
- Record AI involvement in a piece of work so it can be reviewed later
- Make the ambiguous calls with confidence rather than guesswork
Modules
4 modules, 6 facilitated hours.
1.What may go in
1.5 hrsData classification applied to AI tools, using your organisation's own policy.
- Classify information against your organisation's AI policy
2.What must come back to a person
1.5 hrsIdentifying decisions that cannot be delegated to a tool.
- Identify tasks requiring a human decision maker
3.Leaving a record
1 hrsRecording AI involvement so work can be reviewed after the fact.
- Record AI involvement in a piece of work
4.The judgement calls, practised
2 hrsA scenario clinic: ambiguous cases drawn from the organisation's own work, argued to a decision in small groups.
- Argue an ambiguous case to a defensible decision
How it is delivered
A facilitator runs the course live, in person or live online. Attendance is taken per session, participants submit work against the modules above, and a facilitator grades it. Those records stay with the organisation and can be exported.
Further reading
EU AI Act Article 4: what L&D actually has to do is the public briefing that sits next to this course.