Navigating the Intersection of U.S. Regulatory Frameworks and Artificial Intelligence: Strategies for Ethical Compliance

Agbadamasi, Tessy Oghenerobovwe and Opoku, Lois Kumiwaa and Adukpo, Tobias Kwame and Mensah, Nicholas (2025) Navigating the Intersection of U.S. Regulatory Frameworks and Artificial Intelligence: Strategies for Ethical Compliance. World Journal of Advanced Research and Reviews, 25 (3). pp. 969-979. ISSN 2581-9615

Artificial Intelligence (AI) has rapidly evolved, transforming sectors such as healthcare, finance, and transportation while raising complex ethical, legal, and societal concerns. This research examines the current state of AI ethics and regulation in the United States, evaluating whether existing frameworks are sufficient to govern emerging AI technologies and mitigate associated risks. The study aims to analyze the U.S. regulatory landscape, identify ethical challenges, and propose actionable measures for compliance and responsible AI deployment. Drawing from interdisciplinary literature, the research reviews major U.S. policies, including the Federal Trade Commission Act, Algorithmic Accountability Act, and Health Insurance Portability and Accountability Act (HIPAA), to assess their capacity to address key issues such as algorithmic bias, privacy protection, and system transparency. The analysis reveals that while these laws provide foundational oversight, they fall short in addressing the scale and complexity of contemporary AI systems. Significant findings show that AI-powered tools often perpetuate social biases in areas like hiring, lending, and law enforcement, whereas opaque algorithms undermine accountability and public trust. The empirical studies revealed that privacy is increasingly at risk, particularly through AI-driven surveillance and data collection practices that lack sufficient safeguards. The study concludes that a unified, comprehensive regulatory approach is essential to ensure fairness, accountability, and respect for individual rights. Recommendations include integrating ethical principles directly into legislation, fostering inter-agency collaboration, and promoting international cooperation to harmonize AI standards. Ultimately, this research advocates for proactive governance strategies to support the responsible growth of AI technologies while safeguarding societal values and human dignity.