Comprehensive review reveals regulatory frameworks for artificial intelligence technologies, highlighting the necessity of balancing innovation with ethical risk mitigation.
We present a comprehensive review of Artificial Intelligence (AI) regulation, addressing the challenges and needs associated with governing rapidly evolving AI technologies. We begin by exploring the definition of AI, the risks associated with AI algorithms, and possible approaches to address them. This foundation sets the stage for a detailed discussion on AI regulation across several dimensions, including principles of ethical AI, specific strategies for regulating AI, and the challenges related to AI regulation. We conclude by offering insights to help regulators and society find the most balanced approach to AI regulation, and by proposing key questions that should be considered during the development of AI regulations. Our presentation explores the multifaceted nature of AI regulation, emphasizing the importance of integrating insights from computer science, law, and economics to develop robust regulatory frameworks. • AI increases productivity but raises privacy and bias issues. • Review of AI regulation from tech, legal, and economic perspectives. • AI regulation must balance ethical principles and innovation.
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Cajueiro et al. (2025) studied this question.
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