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Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

Machine Learning Street Talk (MLST)

CHAPTER

Navigating AI Risks and Algorithmic Complexity

This chapter explores the implications of Goodhart's law in measuring AI risks, highlighting the dangers of relying solely on compute as a metric. It discusses the complexities of machine learning models, particularly convolutional neural networks, and the ethical concerns surrounding AI systems that mimic human traits without true reasoning. The speakers recommend developing additional metrics aligned with specific risks to foster innovation while addressing the limitations and interplay of algorithms and hardware in shaping AI development.

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