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Mike Lindell’s attorneys fined for AI-generated court filing

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A federal judge has ordered the attorneys for MyPillow founder Mike Lindell to pay fines for using artificial intelligence to prepare court documents that contained several errors, including citations to nonexistent cases and misquotations of cited cases.

Christopher Kachouroff and Jennifer DeMaster, both attorneys for Lindell in his defamation case, violated court rules when they filed a motion on Feb. 25 that contained nearly 30 defective citations, Judge Nina Y. Wang of the U.S. District Court in Denver ruled Monday, July 7.

The court order obtained by USA TODAY says Lindell’s attorneys filed the motion in response to an earlier motion filed by Eric Coomer, a former director at Dominion Voting Systems, who accused the MyPillow CEO of defaming him by helping spread a conspiracy theory that he rigged the election against President Donald Trump.

A federal jury ruled in favor of Coomer on June 16, ending a lawsuit that the former director filed in May 2022 against Lindell and his two companies, MyPillow and FrankSpeech. Following the verdict, Lindell was ordered to pay over $2 million in damages, a number nowhere near the award amount Coomer had requested ($62.7 million), court records show.

USA TODAY contacted Kachouroff and DeMaster on Tuesday, July 8, but has not received a response.

How did the court find out Lindell’s attorneys used AI?

When the court questioned Kachouroff about the errors during a pretrial conference, he told Wang that he delegated the citation checking for the motion to his co-counsel, DeMaster, the court order reads.

Wang did ask Kachouroff if the motion was “generated by generative artificial intelligence?” The attorney responded: “Not initially. Initially, I did an outline for myself, and I drafted a motion, and then we ran it through AI.”

After Kachouroff’s admission, Wang asked him if he double checked the “citations once it was run through artifical intelligence?” The attorney responded: “Your Honor, I personally did not check it. I amresponsible for it not being checked.”

“Notwithstanding any suggestion to the contrary, this Court derives no joy from sanctioning attorneys who appear before it,” Wang wrote in her ruling, adding that the sanction against the two attorneys was “the least severe sanction adequate to deter and punish defense counsel in this instance.”

Kachouroff told judge error-riddled motion was filed by accident

Kachouroff also told Wang that the error-riddled motion was a draft that was filed by accident, according to the court document. Despite this, the judge found that the “final” version the attorney said he intended to file still contained “substantive errors,” including some that were not included in the filed version.

Both the attorneys’ “contradictory statements and the lack of corroborating evidence” is what led to Wang deeming that the filing of the AI-generated motion was not “an advertent error” and merited a sanction, the court document reads.

“Neither Mr. Kachouroff nor Ms. DeMaster provided the Court any explanation as to how those citations appeared in any draft of the Opposition absent the use of generative artificial intelligence or gross carelessness by counsel,” Wang wrote in her ruling.

Both attorneys were ordered to pay $3,000 each.

Contributing: Melina Khan & Natalie Neysa Alund/ USA TODAY



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AI Algorithms Now Capable of Predicting Drug-Biological Target Interactions to Streamline Pharmaceutical Research – geneonline.com

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AI Algorithms Now Capable of Predicting Drug-Biological Target Interactions to Streamline Pharmaceutical Research  geneonline.com



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US teachers union teams up with giants

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This illustration picture shows icons of Google’s AI (Artificial Intelligence) app BardAI (or ChatBot) (C-L), OpenAI’s app ChatGPT (C-R), and other AI apps on a smartphone screen in Oslo, on July 12, 2023. (Photo by OLIVIER MORIN / AFP)

NEW YORK, United States The second biggest teachers union in the United States unveiled a groundbreaking partnership Tuesday with AI powerhouses Microsoft, OpenAI, and Anthropic to develop a comprehensive training program helping educators master artificial intelligence.

“Teachers are facing huge challenges, which include navigating AI wisely, ethically and safely,” said Randi Weingarten, president of the American Federation of Teachers during a press conference in New York.

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“In the absence of rules of the game and guardrails (from the US government)…we are working with these partners so that they understand the commitment we have to our students,” she added.

The AFT represents 1.8 million members across the United States, from kindergarten through high school.

The announcement came as generative AI has already begun reshaping education, with students using tools like ChatGPT for everything from essay writing to homework help.

Meanwhile, teachers grapple with questions about academic integrity, plagiarism, and how to adapt traditional teaching methods.

The AI giants are investing a total of $23 million in creating a New York training center to guide teachers through generative AI learning.

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Microsoft is contributing $12.5 million, OpenAI $10 million, and Anthropic $500,000.

The five-year initiative won’t develop new AI interfaces but intends to familiarize teachers with existing tools.

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“What we’re saying to the world and to teachers across the country is you now have a place, you now have a home, a place where you can come and co-create and understand how to harness this tool to make your classroom the best classroom it possibly can be,” said Gerry Petrella, Microsoft’s general manager for US public policy.

The National Academy for AI Teaching will launch its training program this fall, aiming to serve 400,000 people over five years.

Microsoft staff are already participating in a tech refresher session this week.

AFT affiliates include the United Federation of Teachers (UFT), which represents about 200,000 New York teachers.

UFT President Michael Mulgrew drew parallels between AI and social media, which generated excitement at launch but proved to be “a dumpster fire,” in his view.



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“We’re all very skeptical, but we also are very hopeful,” he added.





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UCLA Computer Scientist Aditya Grover Receives Top Early Career AI Award

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Aditya Grover, an assistant professor of computer science at the UCLA Samueli School of Engineering, has received the Computers and Thought Award, which recognizes early career researchers for notable contributions to artificial intelligence.

Grover is recognized for “his foundational contributions uniting deep generative models, representation learning, and reinforcement learning, and for their applications in advancing scientific reasoning.”

The annual award is presented by the International Joint Conferences on Artificial Intelligence. As this year’s recipient, Grover will present his research at the group’s August meeting in Montreal, Canada.

Grover heads the Machine Intelligence group at UCLA, which develops AI systems that interact and reason with limited supervision. His research focuses on the intersection of generative models and sequential decision making. 

He is the co-founder of Inception, a generative AI-innovation company, where he is developing a new generation of parallelizable large language models and solutions optimized for quality, speed and cost. Grover also investigates sustainability in computer science as part of the ML4Climate initiative.

In 2024, Grover received a National Science Foundation CAREER Award with a five-year, $500,000 grant to support his research on developing generative AI models. He was also named a Schmidt Sciences AI2050 Early Career Fellow. The fellowship provides a two-year grant of up to $300,000 for interdisciplinary AI research aimed at aligning AI systems with human values by 2050.

Grover was recognized in Forbes’ 2024 30 Under 30 list in science and named a Kavli Fellow by the National Academy of Sciences in 2023. Since joining the UCLA Samueli faculty in 2021, he has also received an Amazon Research Award, an AI Researcher of the Year Award from Samsung, a Google Award for Inclusion Research and a Meta Research Award.

In 2019, UCLA Samueli computer science professor Guy Van den Broeck received the same Computers and Thought Award.



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