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AI likely to spell end of traditional school classroom, leading expert says

The Guardian

Recent advances in AI are likely to spell the end of the traditional school classroom, one of the world's leading experts on AI has predicted. Prof Stuart Russell, a British computer scientist based at the University of California, Berkeley, said that personalised ChatGPT-style tutors have the potential to hugely enrich education and widen global access by delivering personalised tuition to every household with a smartphone. The technology could feasibly deliver "most material through to the end of high school", he said. "Education is the biggest benefit that we can look for in the next few years," Russell said before a talk on Friday at the UN's AI for Good Global Summit in Geneva. "It ought to be possible within a few years, maybe by the end of this decade, to be delivering a pretty high quality of education to every child in the world. However, he cautioned that deploying the powerful technology in the education sector also carries risks, including the potential for indoctrination. Russell cited evidence from studies using human tutors that one-to-one teaching can be two to three more times effective than traditional classroom lessons, allowing children to get tailored support and be led by curiosity. "Oxford and Cambridge don't really use a traditional classroom โ€ฆ they use tutors presumably because it's more effective," he said. "It's literally infeasible to do that for every child in the world.


Mind-reading AI may spell end to humanity as we know it, but not because it will enslave us โ€“ Zizek

#artificialintelligence

A computer that can read the thoughts of many people at once would make normal human life impossible, the Slovenian cultural philosopher told RT in the wake of the World Artificial Intelligence (AI) Conference in Shanghai, which saw Alibaba's chairman Jack Ma and Tesla CEO Elon Musk clashing over the future of AI. While the two technopreneurs engaged in a heated discussion over the possibility of humans being controlled by machines in the future, the senior researcher at the Institute for Sociology and Philosophy at the University of Ljubljana shared his thoughts on the issue with RT. What I am studying now is the so-called phenomenon of wired brains, a possibility of our brains being connected with strong digital machines. And that is not a utopia. In the media lab at MIT, Massachusetts, they already have simple machines like that.


Mind-reading AI may spell end to humanity as we know it, but not because it will enslave us โ€“ Zizek

#artificialintelligence

A computer that can read the thoughts of many people at once would make normal human life impossible, the Slovenian cultural philosopher told RT in the wake of the World Artificial Intelligence (AI) Conference in Shanghai, which saw Alibaba's chairman Jack Ma and Tesla CEO Elon Musk clashing over the future of AI. While the two technopreneurs engaged in a heated discussion over the possibility of humans being controlled by machines in the future, the senior researcher at the Institute for Sociology and Philosophy at the University of Ljubljana shared his thoughts on the issue with RT. What I am studying now is the so-called phenomenon of wired brains, a possibility of our brains being connected with strong digital machines. And that is not a utopia. In the media lab at MIT, Massachusetts, they already have simple machines like that.




Oil's New Technology Spells End of Boom for Roughnecks

WSJ.com: WSJD - Technology

But Mr. Neece's former job as a well logger--measuring well conditions thousands of feet underground--was gone. Those duties are increasingly being overseen remotely and handled by automation. Technology has already transformed labor needs in most of the world's manufacturing. It's now upending the energy business, foretelling the end for one of the last sectors in America where blue-collar workers could depend on jobs paying six-figure salaries. "Our industry has had a lot of people making $150,000 out in the field," said Kathryn Humphrey, who spent two decades at BP PLC before retiring from the company's digital oil field program in 2013.