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Taming Silicon Valley - Prof. Gary Marcus

Machine Learning Street Talk (MLST)

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Navigating AI's Ethical Landscape

This chapter explores the challenges of automated decision-making, particularly in distinguishing between human and AI-generated text, emphasizing the need for improved detection methods. It also addresses the ethical implications and potential dangers of large language models in society, advocating for a collaborative approach to AI regulation. By examining varying perspectives within the AI community, the chapter highlights the tension between innovation and the necessity for safety in AI development.

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