Generative AI Hype Feels Inescapable. Tackle It Head On With Education
In their book AI Snake Oil, two Princeton researchers pinpoint the culprits of the AI hype cycle and advocate for a more critical, holistic understanding of artificial intelligence.
Two Princeton computer scientists, Arvind Narayanan and Sayash Kapoor, reveal the driving forces behind the AI hype cycle and call for a more critical and holistic understanding of artificial intelligence in their new book AI Snake Oil.
Narayanan and Kapoor identify the culprits of the AI hype cycle as the interests of AI companies and investors, the misunderstanding and exaggeration of the media and the public, the lack of regulation and oversight by the government and academia, and the limitations and risks of AI technology itself.
Narayanan and Kapoor urge the public to be wary and skeptical of AI technology and not to be fooled and misled by AI hype. They also suggest that the public should have a more critical and holistic understanding of AI technology, including its principles, applications, impacts, and ethical issues. They also call for the government and academia to strengthen the regulation and oversight of AI technology to ensure its safety and fairness.
Two Princeton computer scientists, Arvind Narayanan and Sayash Kapoor, reveal the driving forces behind the AI hype cycle and call for a more critical and holistic understanding of artificial intelligence in their new book AI Snake Oil.
Narayanan and Kapoor identify the culprits of the AI hype cycle as the interests of AI companies and investors, the misunderstanding and exaggeration of the media and the public, the lack of regulation and oversight by the government and academia, and the limitations and risks of AI technology itself.
Narayanan and Kapoor urge the public to be wary and skeptical of AI technology and not to be fooled and misled by AI hype. They also suggest that the public should have a more critical and holistic understanding of AI technology, including its principles, applications, impacts, and ethical issues. They also call for the government and academia to strengthen the regulation and oversight of AI technology to ensure its safety and fairness.
2024-09-26 04:51:12
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