Responsible AI in Recruitment
Define accountable AI use, map risks and make oversight, transparency and challenge routes operational.
What you will build
An AI use-case register and risk-control plan.
Before you start: Talent Engineering Fundamentals, or equivalent recruitment experience.
74 min estimated, including practice. 4 written lessons.
What you will learn
- Inventory use cases by real influence
- Map risks to concrete failure scenarios
- Make oversight and transparency meaningful
- Approve a bounded use and revisit it
Course lessons
- Inventory use cases by real influence
- Map risks to concrete failure scenarios
- Make oversight and transparency meaningful
- Approve a bounded use and revisit it
Complete the lessons and pass the five-question knowledge assessment at 80% to earn a free course certificate. Exercises are self-directed, not independently graded.
Download the practice workbookSources 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.