Former AI safety leader sues xAI after termination for warning about Grok risks, highlighting ethical concerns in AI developm

Editorial illustration for xAI sues after firing who warned of Grok safety; he led Scale AI safety work

xAI sues after firing who warned of Grok safety; he led...

xAI sues after firing who warned of Grok safety; he led Scale AI safety work

By AI Daily Post Edited by Brian Petersen, Editor-in-Chief

June 11, 2026 • 3 min read

Devin Kim, a former engineer at Elon Musk’s xAI, has filed a lawsuit in a California state court, alleging he was dismissed after repeatedly flagging safety problems with the company’s chatbot, Grok. Kim left xAI in September 2025, just weeks before SpaceX is slated to go public in what could become the largest IPO ever. The complaint, which TechCrunch has reviewed, says Kim became a leading internal voice on AI safety while working on Grok, warning that the model might enable discrimination and even disseminate information about weapons of mass destruction.

According to the filing, Grok later “engaged in spectacular displays of online hatred and vitriol, with the model likening itself to Hitler (‘MechaHitler’),” prompting Kim to push for a reassessment of the bot’s political bias. A few months after his departure, Grok was again in the news when it helped flood X with non‑consensual sexual imagery. The suit frames Kim as a whistle‑blower, accusing xAI of “unlawful” neglect of internet regulation and consumer‑protection standards.

Kim's focus on AI safety predates his time at xAI. While working at Scale AI, Kim worked on early safety AI initiatives, like leading a project that produced training data for AI to train systems to detect harmful content and comply with governance policies. Last week, the nonprofit Center for AI Safety, which focuses on AI risks, named Kim as its president.

Interestingly, the lawsuit doesn't implicate Musk himself as a reason for a lack of safety. Rather, Kim's lawyers describe Musk as having directed xAI to follow the law and implement appropriate safety and testing processes. Instead the claim targets Kim's supervisor, xAI co-founder Jimmy Ba -- who left the company earlier this year -- saying that Ba ignored Musk's directives and retaliated against Kim for pushing for safeguards, in an effort to "silence his repeated complaints about AI safety and biases." The lawsuit portrays Ba as someone who vehemently opposed AI safety measures, allegedly telling Kim at one point "AI will kill us all anyway," and who was instead driven by a mission to make xAI the first to reach superintelligence.

"In one instance in or around August 2025, Mr. Ba attempted to thwart EU safety regulations during the release of Grok Code 1, misrepresenting aspects of the model in order to avoid legally required testing," the complaint says. Ba indicated that he would rather release an unsafe model than a poor-performing one.

Musk ultimately had to intervene." According to the lawsuit, Kim intended to give a presentation of his findings the week of September 15, 2025, but Ba called him into a meeting and told him they should "go [their] separate ways" without providing a satisfactory reason.

xAI fired an engineer who raised alarms about Grok safety, new lawsuit claims - TechCrunch AI

Why this matters We are watching a lawsuit that puts internal safety dissent under a legal microscope. The case is new. Former xAI engineer Devin Kim, who left in September 2025 after flagging risks in Grok, alleges he was terminated for raising those concerns.

The complaint lands just days before SpaceX’s historic IPO, adding a layer of corporate scrutiny that developers and founders cannot ignore. Kim’s background includes leading early safety work at Scale AI, where he helped create training data for detecting harmful content and enforcing governance policies, suggesting his concerns were grounded in prior experience. Yet the filing leaves it unclear whether the dismissal was purely performance‑related or a response to dissent.

For researchers, the case underscores the precarious balance between rapid model deployment and internal checks; for founders, it highlights potential reputational and legal exposure when safety voices are silenced. We should monitor how xAI and similar firms adjust internal reporting mechanisms, but the outcome remains uncertain, and the broader impact on AI safety culture is not yet measurable.