Google's DeepMind Institute aims to tackle implications of AGI - TradingView
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Google's DeepMind Institute aims to tackle implications of AGI
Google's GOOGGOOGL DeepMind Institute, which aims to advance conversations to safely develop artificial general intelligence, or AGI, and study its possible benefits and implications for society, launched on Wednesday.
Shane Legg, co-founder and chief AGI scientist of Google DeepMind, will serve as managing editor. Legg also acts as a director of the institute, along with James Manyika, president of Research, Labs, Technology and Society at Google, and Demis Hassabis, co-founder and chair of DeepMind and chief scientist at Alphabet.
"We are on the cusp of a profound transformation," the three wrote in an introductory essay about the institute. "Today's AI systems have impressive capabilities, and the rapid pace of innovation suggests we're now approaching artificial general intelligence, a system that exhibits all the cognitive capabilities of the human brain. While AI can still sometimes fail at basic tasks and lacks the consistency and creativity to meet the bar of full AGI, we expect those gaps to be closed soon."
"Yet there are also challenges and risks that come with the advent of such a transformative technology," they added. "We're already seeing the implications of increasingly capable AI for cybersecurity and biorisks, and there is the potential for loss of control in future self-improving systems. This is a critical moment to ensure we build AGI safely and its benefits to society far outweigh any risks."
The institute plans to publish articles from researchers within Google and without to spur intellectual discussion and debate on how AGI should be developed and used responsibly.
AI has already evolved into an extremely polarizing topic in the U.S., and AGI has yet to arrive. Nearly 50% of Americans believe "AI is now good enough and we should pause the development to reduce any risks," according to a Politico poll released on Wednesday. Only 31% agreed that "We should continue developing more advanced AI because it could still bring significant benefits."