Anti-Slavery Intelligence (ASI) : An AI-Powered Tool for Modern Slavery Compliance Analysis and Remediation

Gad, Mahmoud and Young, Steven and Elhabbash, Abdessalam (2026) Anti-Slavery Intelligence (ASI) : An AI-Powered Tool for Modern Slavery Compliance Analysis and Remediation. In: Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-ECAI 2026 : International Joint Conferences on Artificial Intelligence Organization (IJCAI). UNSPECIFIED. (In Press)

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Abstract

We present Anti-Slavery Intelligence (ASI), a deployed AI system that analyses corporate modern slavery statements to identify compliance gaps and generate prioritised remediation advice. ASI orchestrates a multi-model pipeline: Gemini-2.5-Flash for vision-enhanced PDF parsing and structured compliance scoring against 48 expert-defined criteria, and Gemini-2.5-Pro for synthesising company-specific, timeline-based recommendations. A benchmarking engine compares each statement against industry and FTSE index averages across 11 sectors. Evaluation on 95 expert-annotated statements yields an F1-score of 0.86 and recall of 0.94, reducing time to generate an initial compliance assessment from several hours to approximately five minutes per document.