THE INFLUENCE OF ARTIFICIAL INTELLIGENCE IN THE DEVELOPMENT OF INTERNAL COMPLIANCE POLICIES IN THE NORTH AMERICAN MARKET
DOI:
https://doi.org/10.56238/levv16n44-071Keywords:
Artificial Intelligence, Compliance, Corporate Governance, Algorithmic Ethics, United StatesAbstract
This study examines the influence of artificial intelligence on the design and effectiveness of internal compliance policies within U.S. corporations, emphasizing how automation reshapes governance structures, fiduciary duties, and control mechanisms. Adopting a qualitative and applied approach through an integrative and comparative legal review, it gathers recent publications addressing the convergence between technology and corporate compliance. The findings reveal that AI enhances audit efficiency, strengthens predictive risk analysis, and transforms compliance into an intelligent system of corporate integrity. The results also show that board governance increasingly involves technological oversight and that data regulation has become central to ensuring transparency and the legitimacy of automated decisions. Furthermore, organizational diversity and culture emerge as key elements for promoting ethical and fair algorithmic practices. It concludes that artificial intelligence does not replace compliance but redefines it as a co-governance environment between humans and intelligent systems, requiring new ethical, legal, and operational frameworks.
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References
BRUNER, Christopher M. Artificially Intelligent Boards and the Future of Delaware Corporate Law. Journal of Corporate Law Studies, v. 22, n. 3, p. 783–808, 2022.
BULLOCK, Justin B.; MEYER, Michelle A.; RAHWAN, Iyad (org.). The Oxford Handbook of AI Governance. Oxford: Oxford University Press, 2024.
CHIU, Iris H.-Y.; LIM, Dionne. Managing Corporations’ Risk in Adopting Artificial Intelligence. Washington University Global Studies Law Review, v. 20, p. 347–389, 2021.
EROĞLU, Mine. Impact of Artificial Intelligence on Corporate Board Gender Diversity Discussions. Sustainability, v. 14, n. 9, 2022.
GRAMITTO RICCI, Sergio Alberto. Artificial Agents in Corporate Boardrooms. Cornell Law Review, v. 105, n. 3, p. 869–908, 2020.
LAKATOS, Eva Maria; MARCONI, Marina de Andrade. Fundamentos de metodologia científica. 5. ed. São Paulo: Atlas, 2003.
LI, Zohar. Artificial Fiduciaries. Washington and Lee Law Review, v. 81, n. 2, p. 739–802, 2024.
LOVATTO, Manuela Betiele Aude. Inteligência artificial: governança e transparência? Revista Ibmec de Direito, v. 1, n. 1, 2024.
MARTINS, Guilherme Maldaner; RODRIGUES, Ana Paula Dourado. Compliance inteligente: o uso da inteligência artificial na integridade pública. Revista de Informação Legislativa (Senado Federal), v. 57, n. 225, 2020.
OLIVEIRA, Rayza Ribeiro; SÁ, Danila Leite Almeida de; MELO, Stephanny Resende de. Discriminação algorítmica e a responsabilidade empresarial e individual em sua mitigação: o papel das diretrizes ESG, compliance e Agenda 2030 da ONU. Direito & TI, v. 1, n. 17, p. 80–97, 2024.
PINHEIRO, Caroline da Rosa; BREGA, Gabriel Ribeiro. Inteligência artificial e compliance – a (in)suficiência dos marcos de proteção de dados. Revista Semestral de Direito Empresarial, v. 15, n. 28, p. 161–196, 2023.
VAN ROOIJ, Benjamin; SOKOL, D. Daniel (org.). The Cambridge Handbook of Compliance. Cambridge: Cambridge University Press, 2021.
WACHTER, Sandra; MITTELSTADT, Brent. A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI. Columbia Business Law Review, 2019(2), p. 494–620, 2019.
