De-Risking Your Recruitment Technology Approach: The Legal Risk Hiding in Your tech stack.
Most TA teams are evaluating, implementing or adding AI tools to their ATS to bring efficiency to hiring. Behind every one of those decisions sits the same open question: How much of this can we actually automate, and where does our legal exposure begin? Not all AI in the stack carries the same risk. A CV parser, a ranking score, a chatbot and a structured assessment are held to very different standards under GDPR, the UK's Data Use and Access Act and the EU AI Act, yet they get bundled together as "AI hiring." In this session, Molly Lawrence (Maki People) and Dan Gallagher (TA leader and AI governance researcher) break down the different tools in a typical hiring process, where each one leaves you most exposed in front of a regulator or an employment tribunal, and what a defensible approach looks like in practice. We'll cover: Why CV-only parsing and ranking is a legal blind spot under GDPR and the UK's Data Use and Access Act What AI literacy requires of hiring teams under the EU AI Act AI word-matching vs. behavioural science: why the two get bundled together, and the risk that creates The three kinds of evidence you need to be able to show: statistical fairness against the pool you hire from, a plain-English summary of safeguards, and proof the process surfaces non-standard talent Who it's for: Heads of TA, People leaders, HR legal and DEI leads who own, or are evaluating, AI in their hiring process. You'll leave with a risk map of the AI tools in a typical hiring stack, the questions to put to any vendor, and a clear view of where structured, behaviourally anchored assessment sits in a defensible process.