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AI Alignment & AGI Fire Alarm - Connor Leahy

Machine Learning Street Talk (MLST)

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Navigating AI Alignment Challenges

This chapter explores the intricate issues surrounding AI alignment, focusing on concepts like the orthogonality thesis and the challenges of programming effective utility functions. The speakers discuss real-world implications and potential pitfalls of advanced AI systems operating independently of human values, emphasizing the importance of understanding their behavior. Through thought experiments and examples, they illustrate the complexities inherent in aligning AI with human intentions and the ethical dilemmas posed by their decision-making processes.

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