AI & Industrial Governance

I am interested in how Australia’s legacy industrial institutions (awards, the Fair Work Commission, BOOT) can be adapted to govern algorithmic decision-making at work, especially in gig and platform settings.

My expertise is rooted in employment and union-side law, with a growing focus on AI systems, regulatory design, and fostering institutional resilience.

Australia’s centralised labourist architecture still sets conditions for most workers. I’m exploring how this "institutional carry-over" can be extended to regulate algorithmic management, while consciously avoiding a purely technocratic regulatory model.

Focus: Fair Work Commission, modern awards, minimum standards for gig workers.

Drafting award-level clauses that mandate transparency in algorithmic decisions, require human review of terminations, and secure data access for worker representatives. This allows existing institutions to supervise AI without requiring entirely new legal regimes.

Focus: Algorithmic transparency, human-in-the-loop safeguards, industrial dispute resolution.

Comparing Australia’s labourism with US/UK decentralisation and European social democracy (e.g., EU AI Act) to understand which institutional features matter most for resilient governance of AI-mediated work.

Focus: Institutional architecture, worker voice, and co-governance.

I’m always keen to talk with people working on AI, labour law, industrial relations, or the future of work, especially in the Australian context.

Short conversations are welcome, especially if you’re working inside government, unions, the Fair Work system or digital regulation.