Krisztina Pinter

As AI systems scale, the human labour powering them, data annotators, content moderators, and crowd workers, becomes operationally invisible. Yet laws such as the Corporate Sustainability Due Diligence Directive make oversight of supply chains a legal obligation, not a reputational choice. Ethical risk in AI no longer sits only within the model; it extends across global labour networks that train, filter, and sustain these systems.

This panel examines why auditing your AI supply chain matters, and what meaningful accountability looks like in practice. Speakers will highlight how standards-based evaluation, like Fairwork AI, can expose hidden labour risks, benchmark working conditions, and create enforceable transparency. The discussion moves beyond awareness to explore due diligence, procurement leverage, and how organisations can align AI deployment with fair work principles under emerging regulatory pressure.

• Exposing hidden labour across AI supply chains.

• Using certification frameworks to benchmark labour standards.

• Embedding due diligence into AI procurement decisions.