Carlos Imbrosio Filho
Abstract:
This paper examines the transformative role of Artificial Intelligence (AI) in enhancing business integrity and fostering ethical entrepreneurship through improved anti-money laundering (AML) compliance. Traditional AML methods, hindered by manual inefficiencies and limited scalability, struggle to detect complex laundering schemes. AI addresses these challenges by leveraging advanced algorithms and machine learning to process large datasets, identify patterns of financial crime, and predict high-risk activities with greater accuracy. By automating routine tasks, AI optimizes resource use, allowing compliance professionals to focus on strategic decision-making and ethical evaluation.
The study also highlights AIβs ability to support entrepreneurs in building a culture of compliance and integrity, aligning operations with legal and ethical standards. As AI evolves, its capacity to reduce biases, enhance transparency, and increase accountability significantly bolsters ethical business practices. However, the research emphasizes the need for ethical considerations in AI deployment to avoid over-reliance on automation and ensure fairness and accuracy in AML protocols.
Tenth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research - LIMEN 2024 - International Scientific-Business Conference β LIMEN 2024: Vol 10. Conference Proceedings , December 5, 2024
Conference Proceedings published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia
ISBN: 9788680194929 , ISSN: 26836149 , DOI: 10.31410/LIMEN.2024
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
