CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery
Nadya Bliss, Mark Briers, Alice Eckstein, James Goulding, Daniel P., Lopresti, Anjali Mazumder, and Gavin Smith

TL;DR
This paper discusses a collaborative effort to develop AI-based research strategies aimed at combating modern slavery and human trafficking, emphasizing ethical considerations and stakeholder collaboration.
Contribution
It presents a research roadmap for applying AI to fight human trafficking, linking long-term AI research goals with the UN's SDG Target 8.7.
Findings
Stakeholder network analysis for anti-slavery efforts
Identification of AI research challenges in human trafficking
Framework for ethical AI deployment in anti-slavery initiatives
Abstract
On any given day, tens of millions of people find themselves trapped in instances of modern slavery. The terms "human trafficking," "trafficking in persons," and "modern slavery" are sometimes used interchangeably to refer to both sex trafficking and forced labor. Human trafficking occurs when a trafficker compels someone to provide labor or services through the use of force, fraud, and/or coercion. The wide range of stakeholders in human trafficking presents major challenges. Direct stakeholders are law enforcement, NGOs and INGOs, businesses, local/planning government authorities, and survivors. Viewed from a very high level, all stakeholders share in a rich network of interactions that produce and consume enormous amounts of information. The problems of making efficient use of such information for the purposes of fighting trafficking while at the same time adhering to community…
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Ethics and Social Impacts of AI
