Could AI Go Rogue and ‘Kill Us All’? Two Wisconsin Experts Sort Fact From Science Fiction
Ng called extinction fears science fiction and said the industry should focus on cybersecurity and other practical safeguards instead.
5 Articles
5 Articles
Could AI go rogue and ‘kill us all’? Two Wisconsin experts sort fact from science fiction
A new wave of concerns over the rapid development of artificial intelligence has been sweeping the country after a former tech worker warned that AI could wipe out the human race within a decade.
Andrew Ng calls the AI extinction warnings science fiction
Andrew Ng, who helped start Google Brain and Coursera, told Bloomberg TV that warnings of human extinction from AI are much more science fiction than science, and that the industry stokes them for publicity and to shape regulation. The EU AI Act already lists both the engineering risks he wants prioritised and the loss-of-control risks […] This story continues at The Next Web
AI pioneer Andrew Ng calls extinction fears ‘science fiction’
Artificial intelligence pioneer Andrew Ng said warnings about existential AI risks from researchers at top model makers are “science fiction” that may be detrimental to ensuring the technology’s maximum benefits to society.
AI Extinction Fears Are ‘Science Fiction’: Andrew Ng
AI pioneer Andrew Ng is pushing back against renewed warnings that increasingly powerful models could pose an existential threat to humanity, calling those fears “much more science fiction than science.” He argues that AI systems will never be perfectly predictable, but that testing, safeguards, and engineering, can make them safer over time. He also warns that broadly slowing AI development could also slow progress on safety. He joins Ed Ludlow…
Andrew Ng argues that warnings about possible human extinction caused by artificial intelligence belong more to science fiction than to science, and accuses the industry of amplifying them to gain publicity and influence the rules. However, the European Union AI Act already deals in the same framework with both engineering risks and the eventual loss of control over models.
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