AI TRAINING
AI for Recruiters and Talent Acquisition Teams
Recruiters leave able to source faster, screen fairly, and stay compliant with EU AI Act hiring rules.
What it covers
This programme equips recruiters and TA managers with practical AI skills across the full hiring funnel — from AI-assisted sourcing and CV parsing to automated interview scheduling, note-taking, and candidate scoring. Participants explore bias detection and mitigation techniques embedded in modern ATS and AI tools, and gain a clear understanding of their obligations under the EU AI Act's high-risk classification for recruitment systems. The format blends live facilitated workshops with hands-on tool labs, ensuring participants leave with workflows they can implement immediately. Sessions are grounded in real hiring scenarios and include evaluation frameworks for vetting AI vendors.
What you'll be able to do
- Configure and use at least two AI sourcing tools to build targeted candidate pipelines in under 30 minutes
- Identify the three most common bias vectors in AI-based CV screening and apply a structured audit checklist to any ATS
- Explain the EU AI Act obligations that apply to AI systems used in hiring and map them to your current vendor stack
- Design a compliant candidate data processing workflow that satisfies both GDPR and EU AI Act transparency requirements
- Evaluate an AI recruitment vendor against a defined set of fairness, explainability, and data governance criteria
Topics covered
- AI-assisted candidate sourcing and Boolean/semantic search techniques
- CV and resume parsing: how models extract and rank candidate data
- Automated interview scheduling tools and AI-generated interview notes
- Candidate scoring systems: logic, risks, and how to audit outputs
- Bias in AI hiring tools: types, detection methods, and mitigation controls
- EU AI Act high-risk classification for recruitment systems and compliance obligations
- Evaluating and procuring AI recruitment vendors responsibly
- Data privacy in hiring: GDPR requirements when processing candidate data with AI
Delivery
Delivered as a blended programme over 2–4 weeks: two half-day live virtual or in-person workshops bookended by self-paced micro-modules and tool labs. Hands-on exercises account for roughly 50% of contact time. Participants work with sandboxed versions of common ATS platforms and AI sourcing tools. Materials include a vendor evaluation scorecard, a GDPR-AI Act compliance checklist, and a bias audit template. In-person delivery available for groups of 10 or more.
What makes it work
- Establishing a clear human-in-the-loop policy before rolling out any AI screening or scoring tool
- Running a structured bias audit on existing tools within 30 days of training completion
- Involving legal or compliance teams early when onboarding new AI recruitment vendors
- Creating a shared TA team playbook that documents approved AI tools, permitted use cases, and escalation procedures
Common mistakes
- Treating AI candidate scoring as objective and not establishing a human-review layer for high-stakes decisions
- Deploying AI sourcing tools without auditing them for geographic or demographic bias in training data
- Assuming GDPR compliance alone is sufficient and overlooking the additional transparency and logging obligations introduced by the EU AI Act for high-risk hiring systems
- Purchasing AI recruitment tools based on demos without requesting explainability documentation or fairness benchmarks
When NOT to take this
This training is not the right fit for an organisation that has not yet defined its hiring process or ATS stack — teams without a baseline recruitment workflow will struggle to contextualise AI augmentation and should first stabilise their core process.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.