Global Perspectives on AI Governance : A Comparative Overview

Abstract

The spread of artificial intelligence (AI) technologies has raised a huge question about the safety of their regulation to uphold their effective development and utilization. This research is about the AI regulatory landscapes of the United States, China, and EU, particularly on principles that include the rights to know, be fair, and have a sense of accountability. The EU, for its part, takes a more comprehensive approach, and the Artificial Intelligence Act (AIA), as an instance of this, only targets applications deemed to be high-risk and aims at AI that is trustworthy and aligned with ethical and legal norms. On the one hand, there is the case of the US, where there are just federal and state laws and regulatory plans, and industry self-regulation seems to predominate. Meanwhile, the practical standpoint is stressed by China, which finds its AI technologies useful for admin speeds up. However, strategic aims and societal questions are not ignored. Although governmental authorities differ as to the approach they select, shared values constitute the key principles of AI regulation worldwide. A greater level of transparency, impartiality, and accountability are put in place, although their levels of implementation are not uniform. A cross-country interaction, for example, the Global Partnership on AI (GPAI) agreement, is vital in facilitating a regulation system and an exchange of the best application forms. Among the most important ways policymakers can improve AI governance is through coordination, transparency, and research. Working with regions and stakeholders can ensure that the development of AI ethics is consistent with the values of society; this will in turn promote innovation and people's privacy. © 2024 Copyright for this paper by its authors.