A survey of 49 LLM fraud and trust-and-safety papers finds that fraud work reports almost no per-decision latency, cost, or calibration evidence, while moderation work reports more.
Applications of AI-based models for online fraud detection and analysis.Crime Science, 14(7), 2025
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Operational Evidence Gaps for LLMs in Fraud Detection and Trust-and-Safety Workflows
A survey of 49 LLM fraud and trust-and-safety papers finds that fraud work reports almost no per-decision latency, cost, or calibration evidence, while moderation work reports more.