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| Sam Altman of OpenAI |
It was a blockbuster 2022 for artificial intelligence. The technology made waves from Google’s DeepMind predicting the structure of almost every known protein in the human body to successful launches of OpenAI’s generative A.I. assistant tools DALL-E and ChatGPT.
The sector now looks to be on a fast track toward revolutionizing our economy and everyday lives, but many experts remain concerned that changes are happening too fast, with potentially disastrous implications for the world.
Many experts in A.I. and computer science say the technology is likely a watershed moment for human society. But 36% don’t mean that as a positive, warning that decisions made by A.I. could lead to “nuclear-level catastrophe,” according to researchers surveyed in an annual report on the technology by Stanford University’s Institute for Human-Centered A.I., published earlier this month.
Almost three quarters of researchers in natural language processing—the branch of computer science concerned with developing A.I.—say the technology might soon spark “revolutionary societal change,” according to the report.
Many experts in A.I. and computer science say the technology is likely a watershed moment for human society. But 36% don’t mean that as a positive, warning that decisions made by A.I. could lead to “nuclear-level catastrophe,” according to researchers surveyed in an annual report on the technology by Stanford University’s Institute for Human-Centered A.I., published earlier this month.
Almost three quarters of researchers in natural language processing—the branch of computer science concerned with developing A.I.—say the technology might soon spark “revolutionary societal change,” according to the report.
And while an overwhelming majority of researchers say the future net impact of A.I. and natural language processing will be positive, concerns remain that the technology could soon develop potentially dangerous capabilities, while A.I.’s traditional gatekeepers are no longer as powerful as they once were.
“As the technical barrier to entry for creating and deploying generative A.I. systems has lowered dramatically, the ethical issues around A.I. have become more apparent to the general public. Startups and large companies find themselves in a race to deploy and release generative models, and the technology is no longer controlled by a small group of actors,” the report said. READ MORE...
“As the technical barrier to entry for creating and deploying generative A.I. systems has lowered dramatically, the ethical issues around A.I. have become more apparent to the general public. Startups and large companies find themselves in a race to deploy and release generative models, and the technology is no longer controlled by a small group of actors,” the report said. READ MORE...
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