Inventory use cases by real influence
Course overview · 4 min reading + 12 min practice, estimated
Principles and method
Record where AI enters the recruitment service, what data it uses and how its output influences action. A drafting assistant and an automated ranking tool have different risk profiles. Include informal use in spreadsheets and browser tools, not only purchased enterprise systems. Identify the accountable owner, supplier, intended purpose and affected people. Distinguish approved scope from possible features. Regulatory treatment depends on jurisdiction, intended use and the actual system; do not assume every recruitment tool has the same classification or that a supplier label settles it. Check current official rules with appropriate expertise.
Worked example
A tool sold as an assistant is routinely used to rank applicants without independent review. The register describes the actual ranking use, because that is what affects candidates.
Put it into practice
Create three use-case records with inputs, output influence, owner and prohibited uses.
Use fictional information and keep your work in your own notes.
Compare your approach: self-review guidance
One record should show a low-consequence drafting task and another a consequential decision support task. Describe actual operation rather than repeating marketing terminology.
Sources and further reading
Original Academy teaching and fictional examples. These references provide context, not endorsement. Edition 2026.09; updated 2026-09-24.
- GOV.UK: Responsible AI in recruitment
UK guidance on procuring and deploying recruitment AI.
- NIST: AI Risk Management Framework
Voluntary framework for organising AI risks and controls.
- European Commission: AI regulatory framework
Check the current rules, scope and implementation dates for EU operations.