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Navigating AI Regulation Challenges
This chapter explores the complexities of regulating artificial intelligence by drawing historical parallels, particularly with automobile safety regulations. It emphasizes the need for process-focused regulations that adapt to AI's multifaceted nature while highlighting the risks associated with machine learning technologies like privacy and algorithmic bias. The discussion advocates for a structured regulatory approach that fosters ethical dialogues and addresses real-world implications of AI use, rather than relying solely on reactive measures.