Artificial Intelligence Governance in U.S. Corporations: Legal and Ethical Implications for Business Intelligence and Regulatory Compliance
Tessy Oghenerobovwe Agbadamasi, Lois Kumiwaa Opoku, Tobias Kwame Adukpo, Nicholas Oppong Mensah · International Journal of Research Publication and Reviews · 2025
As artificial intelligence becomes increasingly integrated into corporate decision-making processes, the need for effective governance frameworks to align business intelligence practices with legal and ethical standards has become paramount.This paper examines how U.S. corporations approach AI governance through their business intelligence systems by reviewing existing literature and analyzing case studies of corporate AI governance practices.The study explores how organizations structure their AI oversight, integrate compliance measures, and address ethical concerns in AI-driven decision-making.A review of existing studies and case analyses reveals that U.S. corporations have established structured AI governance frameworks that combine cross-functional collaboration with specialized AI policies and oversight mechanisms.Case studies demonstrate that organizations leverage Business Intelligence (BI) tools to monitor AI operations, ensuring regulatory compliance while mitigating ethical risks related to transparency, fairness, and accountability.The literature further suggests a strong correlation between the adoption of AI governance frameworks and the implementation of BI tools within compliance management systems.Case study findings also indicated that corporations with advanced BI solutions exhibit more effective AI governance, as these systems reinforce accountability and regulatory adherence.Consequently, this study concludes that U.S. corporations must strategically navigate the complex relationship between artificial intelligence and business intelligence by strengthening compliance measures and promoting responsible AI implementation.