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"AI should NOT be regulated at all!" - Prof. Pedro Domingos

Machine Learning Street Talk (MLST)

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Navigating AI Regulation Challenges

This chapter explores the contentious debate surrounding AI regulation, emphasizing the flaws in current proposals and advocating for open-source development. It critiques the slow adaptation of regulatory frameworks to the fast-paced innovation of AI technologies and argues for a focus on specific applications rather than the technologies themselves. The discussion highlights the complexities of transparency, fairness, and the need for dynamic governance that can effectively address the societal impacts of AI.

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