In the past few years, anti-money laundering (AML) regimes like AML compliance and AML regulation have used machine learning (ML) and artificial intelligence (AI) more and more to spot money laundering. Computational technologies offer a more efficient and effective means of identifying suspicious activities and terrorist financing. In AML compliance, ML and AI can be used to examine transaction data to detect patterns that may indicate money laundering. In AML regulation, ML and AI can be used by regulators to enhance the efficiency and effectiveness of the compliance process. Using these technologies, organizations and financial institutions can effectively identify and prevent money laundering. This webinar will discuss cases and research in which ML and AI have been used for money laundering detection. These computational techniques have led to more accurate and timely identification of money laundering risks. Furthermore, this webinar will provide insights into how these technologies can be further utilized to improve AML efforts.