Connect with us

AI Insights

AI hallucination in Mike Lindell case serves as a stark warning : NPR

Published

on


MyPillow CEO Mike Lindell arrives at a gathering of supporters of Donald Trump near Trump’s residence in Palm Beach, Fla., on April 4, 2023. On July 7, 2025, Lindell’s lawyers were fined thousands of dollars for submitting a legal filing riddled with AI-generated mistakes.

Octavio Jones/Getty Images


hide caption

toggle caption

Octavio Jones/Getty Images

A federal judge ordered two attorneys representing MyPillow CEO Mike Lindell in a Colorado defamation case to pay $3,000 each after they used artificial intelligence to prepare a court filing filled with a host of mistakes and citations of cases that didn’t exist.

Christopher Kachouroff and Jennifer DeMaster violated court rules when they filed the document in February filled with more than two dozen mistakes — including hallucinated cases, meaning fake cases made up by AI tools, Judge Nina Y. Wang of the U.S. District Court in Denver ruled Monday.

“Notwithstanding any suggestion to the contrary, this Court derives no joy from sanctioning attorneys who appear before it,” Wang wrote in her decision. “Indeed, federal courts rely upon the assistance of attorneys as officers of the court for the efficient and fair administration of justice.”

The use of AI by lawyers in court is not, itself illegal. But Wang found the lawyers violated a federal rule that requires lawyers to certify that claims they make in court are “well grounded” in the law. Turns out, fake cases don’t meet that bar.

Kachouroff and DeMaster didn’t respond to NPR’s request for comment.

The error-riddled court filing was part of a defamation case involving Lindell, the MyPillow creator, President Trump supporter and conspiracy theorist known for spreading lies about the 2020 election. Last month, Lindell lost this case being argued in front of Wang. He was ordered to pay Eric Coomer, a former employee of Denver-based Dominion Voting Systems, more than $2 million after claiming Coomer and Dominion used election equipment to flip votes to former President Joe Biden.

The financial sanctions, and reputational damage, for the two lawyers are a stark reminder for attorneys who, like many others, are increasingly using artificial intelligence in their work, according to Maura Grossman, a professor at the University of Waterloo’s David R. Cheriton School of Computer Science and an adjunct law professor at York University’s Osgoode Hall Law School.

Grossman said the $3,000 fines “in the scheme of things was reasonably light, given these were not unsophisticated lawyers who just really wouldn’t know better. The kind of errors that were made here … were egregious.”

There have been a host of high-profile cases where the use of generative AI has gone wrong for lawyers and others filing legal cases, Grossman said. It’s become a familiar trend in courtrooms across the country: Lawyers are sanctioned for submitting motions and other court filings filled with case citations that are not real and created by generative AI.

Damien Charlotin tracks court cases from across the world where generative AI produced hallucinated content and where a court or tribunal specifically levied warnings or other punishments. There are 206 cases identified as of Thursday — and that’s only since the spring, he told NPR. There were very few cases before April, he said, but for months since there have been cases “popping up every day.”

Charlotin’s database doesn’t cover every single case where there is a hallucination. But he said, “I suspect there are many, many, many more, but just a lot of courts and parties prefer not to address it because it’s very embarrassing for everyone involved.”

What went wrong in the MyPillow filing

The $3,000 fine for each attorney, Judge Wang wrote in her order this week, is “the least severe sanction adequate to deter and punish defense counsel in this instance.”

The judge wrote that the two attorneys didn’t provide any proper explanation of how these mistakes happened, “most egregiously, citation of cases that do not exist.”

Wang also said Kachouroff and DeMaster were not forthcoming when questioned about whether the motion was generated using artificial intelligence.

Kachouroff, in response, said in court documents that it was DeMaster who “mistakenly filed” a draft version of this filing rather than the right copy that was more carefully edited and didn’t include hallucinated cases.

But Wang wasn’t persuaded that the submission of the filing was an “inadvertent error.” In fact, she called out Kachouroff for not being honest when she questioned him.

“Not until this Court asked Mr. Kachouroff directly whether the Opposition was the product of generative artificial intelligence did Mr. Kachouroff admit that he did, in fact, use generative artificial intelligence,” Wang wrote.

Grossman advised other lawyers who find themselves in the same position as Kachouroff to not attempt to cover it up, and fess up to the judge as soon as possible.

“You are likely to get a harsher penalty if you don’t come clean,” she said.

An illustration picture shows ChatGPT artificial intelligence software, which generates human-like conversation, in February 2023 in Lierde, Belgium. Experts say AI can be incredibly useful for lawyers — they just have to verify their work.

An illustration picture shows ChatGPT artificial intelligence software, which generates human-like conversation, in February 2023 in Lierde, Belgium. Experts say AI can be incredibly useful for lawyers — they just have to verify their work.

Nicolas Maeterlinck/BELGA MAG/AFP via Getty Images


hide caption

toggle caption

Nicolas Maeterlinck/BELGA MAG/AFP via Getty Images

Trust and verify

Charlotin has found three main issues when lawyers, or others, use AI to file court documents: The first are the fake cases created, or hallucinated, by AI chatbots.

The second is AI creates a fake quote from a real case.

The third is harder to spot, he said. That’s when the citation and case name are correct but the legal argument being cited is not actually supported by the case that is sourced, Charlotin said.

This case involving the MyPillow lawyers is just a microcosm of the growing dilemma of how courts and lawyers can strike the balance between welcoming life-changing technology and using it responsibly in court. The use of AI is growing faster than authorities can make guardrails around its use.

It’s even being used to present evidence in court, Grossman said, and to provide victim impact statements.

Earlier this year, a judge on a New York state appeals court was furious after a plaintiff, representing himself, tried to use a younger, more handsome AI-generated avatar to argue his case for him, CNN reported. That was swiftly shut down.

Despite the cautionary tales that make headlines, both Grossman and Charlotin view AI as an incredibly useful tool for lawyers and one they predict will be used in court more, not less.

Rules over how best to use AI differ from one jurisdiction to the next. Judges have created their own standards, requiring lawyers and those representing themselves in court to submit AI disclosures when it’s been used. In a few instances judges in North Carolina, Ohio, Illinois and Montana have established various prohibitions on the use of AI in their courtrooms, according to a database created by the law firm Ropes & Gray.

The American Bar Association, the national representative of the legal profession, issued its first ethical guidance on the use of AI last year. The organization warned that because these tools “are subject to mistakes, lawyers’ uncritical reliance on content created by a [generative artificial intelligence] tool can result in inaccurate legal advice to clients or misleading representations to courts and third parties.”

It continued, “Therefore, a lawyer’s reliance on, or submission of, a GAI tool’s output—without an appropriate degree of independent verification or review of its output—could violate the duty to provide competent representation …”

The Advisory Committee on Evidence Rules, the group responsible for studying and recommending changes to the national rules of evidence for federal courts, has been slow to act and is still working on amendments for the use of AI for evidence.

In the meantime, Grossman has this suggestion for anyone who uses AI: “Trust nothing, verify everything.”



Source link

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

AI Insights

Chip Firms in Malaysia Pause Investment Plans on Tariff Angst

Published

on




Chip firms in Malaysia are holding back on investment and expansion as they await clarity on tariffs from the US, according to Malaysia Semiconductor Industry Association President Wong Siew Hai.



Source link

Continue Reading

AI Insights

Witcher Game Maker Among Europe’s Priciest Stocks as Hype Grows

Published

on




Optimism over a distant video-game launch has turned a Polish studio developing the title into one of Europe’s most richly valued companies, topping even hot sectors such as defense and electrification by one measure.



Source link

Continue Reading

AI Insights

Tampa General Hospital, USF developing artificial intelligence to monitor NICU baby’s pain in real-time

Published

on


Researchers are looking to use artificial intelligence to detect when a baby is in pain.

The backstory:

A baby’s cry is enough to alert anyone that something’s wrong. But for some of the most critical babies in hospital care, they can’t cry when they are hurting.

READ: FDA approves first AI tool to predict breast cancer risk

“As a bedside nurse, it is very hard. You are trying to read from the signals from the baby,” said Marcia Kneusel, a clinical research nurse with TGH and USF Muma NICU.

With more than 20 years working in the neonatal intensive care unit, Kneusel said nurses read vital signs and rely on their experience to care for the infants.

“However, it really, it’s not as clearly defined as if you had a machine that could do that for you,” she said.

MORE: USF doctor enters final year of research to see if AI can detect vocal diseases

Big picture view:

That’s where a study by the University of South Florida comes in. USF is working with TGH to develop artificial intelligence to detect a baby’s pain in real-time.

“We’re going to have a camera system basically facing the infant. And the camera system will be able to look at the facial expression, body motion, and hear the crying sound, and also getting the vital signal,” said Yu Sun, a robotics and AI professor at USF.

Yu heads up research on USF’s AI study, and he said it’s part of a two-year $1.2 million National Institutes of Health grant.

He said the study will capture data by recording video of the babies before a procedure for a baseline. Video will record the babies for 72 hours after the procedure, then be loaded into a computer to create the AI program. It will help tell the computer how to use the same basic signals a nurse looks at to pinpoint pain.

READ: These states are spending the most on health insurance, study shows

“Then there’s alarm will be sent to the nurse, the nurse will come and check the situation, decide how to treat the pain,” said Sun.

What they’re saying:

Kneusel said there’s been a lot of change over the years in the NICU world with how medical professionals handle infant pain.

“There was a time period we just gave lots of meds, and then we realized that that wasn’t a good thing. And so we switched to as many non-pharmacological agents as we could, but then, you know, our baby’s in pain. So, I’ve seen a lot of change,” said Kneusel.

Why you should care:

Nurses like Kneusel said the study could change their care for the better.

“I’ve been in this world for a long time, and these babies are dear to me. You really don’t want to see them in pain, and you don’t want to do anything that isn’t in their best interest,” said Kneusel.

MORE: California woman gets married after lifesaving surgery to remove 40-pound tumor

USF said there are 120 babies participating in the study, not just at TGH but also at Stanford University Hospital in California and Inova Hospital in Virginia.

What’s next:

Sun said the study is in the first phase of gathering the technological data and developing the AI model. The next phase will be clinical trials for real world testing in hospital settings, and it would be through a $4 million NIH grant, Sun said.

The Source: The information used in this story was gathered by FOX13’s Briona Arradondo from the University of South Florida and Tampa General Hospital.

TampaHealthArtificial Intelligence



Source link

Continue Reading

Trending