Cybersecurity in the Digital Age

Published: Jan. 1, 2025

Language: Английский

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Artificial intelligence and machine learning in combating illegal financial operations: Bibliometric analysis

Human Technology, Journal Year: 2024, Volume and Issue: 20(2), P. 325 - 360

Published: Sept. 5, 2024

Money launderers and corrupt entities refine methods to evade detection, making artificial intelligence (AI) machine learning (ML) essential for countering these threats. AI automates identity verification using diverse data sources, including government databases social media, analysing client more effectively than traditional methods. This study uses bibliometric analysis examine ML in anti-money laundering anti-corruption efforts. A sample of 746 documents from 477 sources Scopus shows a 14.33% annual growth rate an average document age 3.51 years, highlighting the field's actuality rapid development. The research indicates significant international collaboration documents. main clusters keywords relate implementation (1) avoiding fraud cybersecurity, (2) AML compliance, (3) promotion transparency combating corruption, etc. Addressing ethical concerns, privacy, bias is crucial fair effective use this area.

Language: Английский

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Using Global Security Assemblages to Combat Transnational Organized Crime

Journal of Economic Criminology, Journal Year: 2025, Volume and Issue: unknown, P. 100134 - 100134

Published: Feb. 1, 2025

Language: Английский

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