AI for HR and People Teams in Australia: Fair Work, Privacy and What You Must Get Right

Why HR AI governance is the most complex in the organisation

Employment decisions are among the highest-stakes decisions affecting individuals lives — and AI used in those decisions sits at the intersection of anti-discrimination law, Fair Work Act obligations, Privacy Act requirements, and now explicit WHS duties. Getting it wrong creates regulatory, legal and employee relations exposure simultaneously.

AI in recruitment

Anti-discrimination: Federal anti-discrimination legislation prohibits discrimination in employment based on age, disability, race, sex and other characteristics. AI that systematically disadvantages candidates on any protected basis breaches these laws regardless of intent. Purchasing an AI screening tool does not transfer legal responsibility to the vendor. HR teams should require vendors to provide evidence of bias testing across protected demographic categories and conduct their own periodic audits of whether screening outcomes differ systematically across candidate groups.

Privacy Act: The employee records exemption does not apply to candidates. AI tools processing candidate data must comply with the APPs — APP 1 (transparency), APP 3 (collection limitation), APP 6 (use limitation), and APP 11 (security). Candidate data should not be processed through consumer AI tools.

AI in performance management

NSWs Digital Work Systems Act 2026 introduces a specific duty to ensure performance metrics generated by digital work systems are not excessive or unreasonable. Algorithmic performance ratings workers cannot challenge or understand create WHS exposure — SafeWork NSW has flagged this as a priority enforcement concern.

Fair Work Act general protections apply to workers who raise concerns about AI performance management. An employee who complains that AI monitoring is inaccurate, discriminatory or creating unreasonable pressure is exercising a workplace right — adverse action for raising that concern may breach general protections.

Consultation obligations

Deploying AI that changes how performance is monitored, work is allocated, or employment decisions are made is a major workplace change triggering Fair Work Act consultation requirements. The APS AI Plan established the expected standard: genuine and effective consultation with employees and unions before decisions are finalised — not post-hoc notification. Most modern awards also contain consultation provisions requiring advance notice and genuine discussion.

December 2026 transparency obligation

From 10 December 2026, APP 1.7 requires disclosure in the privacy policy when AI makes decisions significantly affecting individuals rights or interests. For HR functions, this likely captures AI-assisted hiring decisions; AI performance ratings affecting promotion, pay or continued employment; AI analysis in redundancy decisions; and automated rostering significantly affecting working conditions. Begin identifying all in-scope systems now — privacy policy updates require system inventory, legal review, and appropriate approvals.