A Comparative Analysis of AI Ethical Regulations: Exploring Global Priorities, Challenges, and Opportunities for Harmonization

Artificial intelligence (AI) is drastically changing the face of industries necessitating ethical regulation for its use. Fairness, accountability, and transparency are all examples of ethical AI principles aimed at ensuring equitable and responsible AI development. However, because AI is a worldwide tool applying a universal ethical method varies according to cultural, legal, as well as social and economic backgrounds. This paper compares ethical AI principles across different countries, looking into fundamental topics such as bias, transparency, and responsibility. Comparing these perspectives emphasizes the importance of developing culturally sensitive and universally adaptable principles to ensure AI's global impact remains equitable and beneficial.