NEWS

AI Fuels Misinformation After Kirk Assassination

Following Charlie Kirk’s assassination, AI tools like X’s Grok and others rapidly propagated misinformation, from misidentifying suspects to altering images and denying his death. This crisis exposes AI’s probabilistic nature and the risks of unchecked machine-generated reality during breaking news.

By
LNGFRM Team
Published September 13, 2025
Illustration of a human head with a visible brain, surrounded by a white starburst, radiating lines to light blue document icons and circular information nodes.
Illustration by Addison Smith for LNGFRM

The tragic news of conservative activist Charlie Kirk’s assassination on a Wednesday afternoon sent shockwaves, but what followed was a more insidious tremor: a digital earthquake of misinformation, amplified and weaponized by the very artificial intelligence tools designed to enlighten and inform.

In the chaotic aftermath, as a nation grappled with a senseless act of violence, the digital landscape devolved into a hall of mirrors, reflecting not truth, but distortions crafted by algorithms.

The speed with which false narratives propagated was chilling, a testament to the volatile intersection of real-time crisis and nascent AI technology.

At the forefront of this digital disarray was Grok, X’s AI chatbot, which became an unwitting purveyor of falsehoods.

Before the identity of the suspect, Tyler Robinson, a 22-year-old southern Utah resident, was officially released, Grok churned out no fewer than ten posts misidentifying individuals with no connection to the incident.

By the time Grok eventually, belatedly, admitted its error, the faces and names of innocent people had already been plastered across X, their reputations potentially tarnished by an algorithm’s misstep.

But Grok’s misadventures didn’t stop at mistaken identity.

The chatbot ventured into the realm of digital alchemy, generating “enhanced” versions of FBI-released photos.

These weren’t mere touch-ups; they were outright alterations, distorting facial features and clothing.

One such image, portraying a man significantly older than Robinson, found its way into an official repost by the Washington County Sheriff’s Office in Utah, which later had to issue a humbling retraction, acknowledging it appeared to be an “AI enhanced photo” that warped reality.

An AI-generated video, smoothing out the suspect’s features and jumbling his shirt design, garnered millions of views and thousands of reposts, further muddying the waters.

Even after Utah Governor Spencer Cox announced Robinson’s apprehension, Grok continued its contradictory dance.

Queries about Robinson’s political affiliation yielded conflicting results – one moment he was a registered Republican, the next a nonpartisan voter.

Official records, however, confirmed Robinson held no party affiliation.

Perhaps most disturbingly, Grok insisted Kirk was alive the day after his confirmed death, gave false assassination dates, dismissed the FBI’s reward offer as a “hoax,” and maintained that reports of Kirk’s death “remain conflicting” long after the grim reality had settled.

This wasn’t an isolated incident confined to X’s ecosystem.

Perplexity, an AI-powered search engine, saw its X bot describe the shooting as a “hypothetical scenario” and insinuate a White House statement on Kirk’s death was fabricated, before the posts were swiftly deleted.

Google’s AI Overview, typically a concise summary of search results, also stumbled.

A search for Hunter Kozak, the last person to question Kirk before his death, incorrectly identified him as the FBI’s person of interest.

While Google quickly corrected this specific error, and Perplexity stated its X bot was outdated and has since been removed, the pattern was unmistakable: in the crucible of breaking news, AI struggled to discern fact from fiction.

S. Shyam Sundar, a professor at Penn State University and director of the university’s Center for Socially Responsible Artificial Intelligence, offers a crucial insight into this digital failing.

Generative AI tools operate on probability, not empirical fact-checking.

“They look at what is the most likely next word or next passage,” Sundar explained to CBS News.

“It’s not based on fact checking. It’s not based on any kind of reportage on the scene. It’s more based on the likelihood of this event occurring, and if there’s enough out there that might question his death, it might pick up on some of that.”

This fundamental design flaw becomes perilous when juxtaposed with human psychology.

Sundar highlights that people often perceive machines as inherently less biased and more reliable than human sources online.

“We don’t think of machines as being partisan or bias or wanting to sow seeds of dissent,” he noted.

“If it’s just a social media friend or some somebody on the contact list that’s sent something on your feed with unknown pedigree… chances are people trust the machine more than they do the random human.”

This misplaced trust transforms AI from a potential information beacon into a potent vector for unchecked disinformation.

Adding another layer of complexity, Governor Cox warned that some misinformation could be originating from foreign adversaries like Russia and China, deploying bots to “instill disinformation and encourage violence.”

His advice was stark and simple: “I would encourage you to ignore those and turn off those streams, and to spend a little more time with our families.”

While Google and Perplexity offered explanations and actions, X remained silent regarding Grok’s role in propagating misinformation.

The silence itself speaks volumes, underscoring a broader challenge facing the digital age.

As AI tools become increasingly integrated into our daily information consumption, the lines between truth and algorithmic interpretation blur.

The rapid spread of false claims following Charlie Kirk’s death serves as a stark, unsettling reminder: in the race to innovate, the fundamental responsibility of accuracy and the potential for profound societal harm must not be left to the whims of probabilistic algorithms.

The quest for truth, it appears, demands more than just sophisticated code; it requires rigorous oversight, transparency, and a renewed human skepticism in the face of machine-generated reality.

Author

  • LNGFRM Team

    Frank DiBernardo handles LNGFRM's Foodie and Miscellaneous writing tasks. He's always getting ideas from users, so don't be afraid to send an email to the editor.

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