Artificial intelligence rhymes with unemployment, some workers believe. And they are right to think this way because waves of layoffs are about to hit the world of work in the near future. But John Roberts, Chief Justice of the United States, does not share this opinion. For him, AI is capable of revolutionizing the legal system. Details !
John Roberts extols the merits of artificial intelligence
For some people, AI poses threat to millions of workers distributed in the four corners of the Planet. Elon Musk didn’t mince his words when he called these programs ” most disruptive force in history “. He made this decision during his meeting with the current British Prime Minister, Rishi Sunak, last November.
Why treat artificial intelligence as disruptive? In fact, these will be able to replace certain employees. The unemployed will number in the hundreds of millions in the near future.
Google has already announced the elimination of 30,000 positions in order to gain efficiency.
“ Chief Justice of the United States John Roberts said he anticipated that AI would have a ‘significant’ impact on legal work at trial level in its end-of-year report. »
Cointelegraph reports in a recent publication that John Roberts, President of the Supreme Court of the USA, ruled on Artificial Intelligence in his end-of-year report. In particular, he predicted that AI will have an impact “ significant » on legal work.
“ As 2023 draws to a close with breathless predictions about the future of artificial intelligence, some may ask if judges are about to become obsolete. I’m sure that’s not the case, but I’m just as convinced that technological change will continue to transform our work “, we can read in his statement.
For J. Roberts, under no circumstances will these innovations be able to replace men in decision-making: “ the judges will be there for a while “, he believes.
Explanations:
“ …nuances are important: a trembling hand, a moment of hesitation or a fleeting interruption of eye contact can change many things “.
Additionally, people automatically trust humans over AI in evaluating nuances and making decisions.
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