This white paper addresses the persistent challenge of forced labour affecting nearly 28 million people globally, despite extensive regulatory and corporate efforts. It identifies fragmented data, misaligned incentives and lack of trust as key barriers to effective action. The proposed solution is the Global Data Partnership Against Forced Labour, which uses a federated data model and agentic AI to securely connect insights across governments, businesses and civil society without centralizing data. This approach enables better detection of risk patterns, improved coordination and stronger accountability while preserving data sovereignty. The paper demonstrates how shared intelligence can transform fragmented systems into collaborative ecosystems, creating a scalable model that enhances vis

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