In this reflection on the closing roundtable of the 9th Annual Conference of the International Network on Digital Labour (INDL-9), Uma Rani, Senior Economist in the ILO’s Research Department, examines a wider view of data work along AI supply chains and shares the questions research is currently asking, the evidence policymakers need, and where policy can intervene to strengthen AI governance.

These discussion highlights capture key governance insights from the Use at Your Own Risk? Integrating Developers into AI Governance, convened alongside the first UN Global Dialogue on AI Governance 2026. The event explored who is developing AI today, how responsibility is distributed across the AI value chain, and what it takes to turn accountability into governance in practice.

These discussion highlights capture key insights from the event “Aligning Control and Accountability in the New AI Supply Chain: Who Answers when AI Misbehaves?”, convened alongside the AI for Good Global Summit 2025, exploring how accountability and control are distributed across increasingly complex AI systems and how anticipatory AI governance can be built in practice.

This TASC Takes podcast, released for International Women’s Day 2024, introduces our Co-Chair, Professor Gudela Grote, whose work on accountability, control and human agency underpins our AI governance agenda, bringing together key questions across the AI supply chain: who shapes AI, where responsibility sits, and how governance can preserve human agency as technology transforms work.

In this perspective, Professor Gudela Grote examines how fairness and accountability can be embedded into the development and use of AI at work. Focusing on control, power and human agency, she asks what it takes to design AI governance around shared responsibility, meaningful oversight and the people most affected by these systems throughout their design and deployment in practice.

Reporting from Strasbourg and the European Parliament, Maria Mexi examines the EU’s accelerating “Omnibus-isation” and asks whether regulatory simplification risks becoming structural drift. By tracing what this shift could mean for AI regulation, data rights and labour protections, she considers how Europe’s wider AI governance model balances competitiveness, protection and accountability.

In their contribution to the International Institute for Sustainable Development’s Trade and Sustainability Review, Maria Mexi and Kitrhona Cerri unpack how platforms, data and algorithms are redefining industrial policy, and the risks of falling into digital dependency. Drawing on Kenya’s digital economy, they examine what it takes to turn digital growth into broader local benefits.

In this article, Maria Mexi, Senior Policy Advisor, TASC Platform, examines a central question for AI governance in Europe: The EU has moved faster than most to regulate artificial intelligence, but the harder question is whether Europe has enough leverage over the AI stack to steer innovation towards worker-augmenting systems rather than importing worker-substituting ones designed elsewhere.

Drawing on discussions from the Future of Work Summit 2024, Maria Mexi examines the intersection of AI and Migration, and the policy choices shaping who benefits, who bears the risks and how much agency workers retain. She argues for breaking silos between AI and migration policy, strengthening social dialogue and bringing labour standards more firmly into AI governance and implementation.