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Bridging the Gap: Applying Anti-Money Laundering Techniques and AI to Combat Tariff Evasion

In today's global economy, characterized by complex supply chains and escalating trade tensions, tariff evasion has emerged as a significant threat to economic stability, fair competition, and government revenue. Traditional...more

Enhancing Trade-Based Money Laundering Detection: Retrieval-Augmented Generation and Semantic Search Technologies

This article explores the application of retrieval-augmented generation combined with semantic search technologies in the detection of trade-based money laundering (TBML). Retrieval-augmented generation combined with semantic...more

AI has Achy Breaky Time in Tennessee (Protecting Artists’ Voices)

Tennessee has passed a law, considered one of a kind, geared at deterring unauthorized use of an individual’s voice via artificial intelligence (AI). Tennessee’s new AI law is inspired by the state’s close connection with...more

Navigating the Labyrinth: Artificial Intelligence in the Battle Against Trade-Based Money Laundering

In the rapidly evolving financial landscape, governments worldwide are intensifying their focus on compliance in Know Your Customer (KYC) and Anti-Money Laundering (AML) efforts for financial institutions. Trade-Based Money...more

Crowdsourced Data vs. Traditional Human Intelligence (HUMINT)

Crowdsourced data providers are revolutionizing data collection, analysis, and decision-making, and play a pivotal role in gathering information that can be used to inform business and government intelligence requirements to...more

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