{"id":86831,"date":"2023-05-02T18:37:27","date_gmt":"2023-05-02T22:37:27","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=86831"},"modified":"2023-05-02T18:51:02","modified_gmt":"2023-05-02T22:51:02","slug":"work-shift-how-ai-might-upend-pay-jo-constantz-other-ai-related-postings","status":"publish","type":"post","link":"https:\/\/danielschristian.com\/learning-ecosystems\/2023\/05\/02\/work-shift-how-ai-might-upend-pay-jo-constantz-other-ai-related-postings\/","title":{"rendered":"“Work Shift: How AI Might Upend Pay” [Jo Constantz] + other AI-related postings"},"content":{"rendered":"

Work Shift: How AI Might Upend Pay<\/strong><\/a> — from bloomberg.com by Jo Constantz<\/p>\n

Excerpt:<\/em><\/p>\n

This all means that a time may be coming when companies need to compensate star employees for their input to AI tools rather than their just their output, which may not ultimately look much different from their AI-assisted colleagues.<\/p>\n

\u201cIt wouldn\u2019t be far-fetched for them to put even more of a premium on those people because now that kind of skill gets amplified and multiplied throughout the organization,\u201d said Erik Brynjolfsson, a Stanford professor and one of the study\u2019s authors. \u201cNow that top worker could change the whole organization.\u201d<\/p>\n

Of course, there\u2019s a risk that companies won\u2019t heed that advice. If AI levels performance, some executives may flatten the pay scale accordingly. Businesses would then potentially save on costs \u2014\u00a0but they would also risk losing their top performers, who wouldn’t be properly compensated for the true value of their contributions under this system.<\/p>\n

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US Supreme Court rejects computer scientist’s lawsuit over AI-generated inventions<\/strong><\/a> — from reuters.com by\u00a0Blake Brittain<\/p>\n

Excerpt:<\/em><\/p>\n

WASHINGTON, April 24 – The U.S. Supreme Court on Monday declined to hear a challenge by computer scientist Stephen Thaler to the U.S. Patent and Trademark Office’s refusal to issue patents for inventions his artificial intelligence system created.<\/p>\n

The justices turned away Thaler’s appeal of a lower court’s ruling that patents can be issued only to human inventors and that his AI system could not be considered the legal creator of two inventions that he has said it generated.<\/p>\n

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Deep learning pioneer Geoffrey Hinton has quit Google<\/strong> <\/a>— from technologyreview.com by Will Douglas Heaven
\nHinton will be speaking at EmTech Digital on Wednesday.<\/em><\/p>\n

Excerpt:<\/em><\/p>\n

Geoffrey Hinton, a VP and engineering fellow at Google and a pioneer of deep learning who developed some of the most important techniques at the heart of modern AI, is leaving the company after 10 years, the New York Times reported today.<\/p>\n

According to the Times, Hinton says he has new fears about the technology he helped usher in and wants to speak openly about them, and that a part of him now regrets his life\u2019s work.<\/p>\n

***<\/p>\n

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In the NYT today, Cade Metz implies that I left Google so that I could criticize Google. Actually, I left so that I could talk about the dangers of AI without considering how this impacts Google. Google has acted very responsibly.<\/p>\n

\u2014 Geoffrey Hinton (@geoffreyhinton) May 1, 2023<\/a><\/p><\/blockquote>\n