Employment Law and Emerging Regulation

The video addresses Assessment Criterion 2.2 of FREE08, focusing on the legal and regulatory considerations that people professionals must understand when AI is used in HR contexts. It covers employment law obligations as they apply to AI-assisted processes across the employment relationship, from fair recruitment and selection practices through to performance monitoring, disciplinary procedures, and redundancy selection. The implied duty of mutual trust and confidence features in the discussion, as does the requirement for objective and consistently applied selection criteria — both of which bear directly on how AI systems must be designed and governed.

Data protection under UK GDPR runs throughout the video as a foundational framework, with specific attention to lawful basis for processing, data minimisation, purpose limitation, and the rights of individuals in relation to automated decision-making, including the right to human review. Equality legislation is examined alongside these provisions, particularly the risk of indirect discrimination arising from AI-driven processes and the obligation to make reasonable adjustments for disabled candidates. The video also addresses the EU AI Act in some detail, including its classification of employment-related AI systems as high-risk, and the resulting requirements around conformity assessments, mandatory documentation, accuracy standards, and human oversight. The contrasting UK approach — principles-based regulation delivered through existing sector regulators rather than dedicated AI legislation — is set against the EU direction of travel, with attention to what this means for organisations operating across both jurisdictions.

Organisational responsibilities form the third strand of the video, covering the practical infrastructure that legal compliance demands: written policies governing AI use in people management, documentation of decision-making processes, and audit trails that record AI outputs alongside the human decisions that follow them. Human oversight is examined not merely as good practice but as a legal requirement that runs across data protection law, equality legislation, and employment law alike. The video is clear that accountability attaches to human decision-makers rather than to the AI systems they use, and it addresses what that means for the governance structures people professionals are expected to put in place.