Former xAI engineer sues over AI safety concerns
- •Former xAI engineer Devin Kim sues xAI and SpaceX over alleged retaliatory firing.
- •The lawsuit claims Jimmy Ba ignored warnings about Grok’s safety risks and regulatory violations.
- •Kim is now president of the Centre for AI Safety while seeking damages in court.
Devin Kim, a former engineer at xAI, has filed a lawsuit against xAI and its parent company, SpaceX, alleging he was wrongfully dismissed after raising repeated concerns regarding the safety of the Grok chatbot. The legal complaint, filed in a California state court on June 12, 2026, claims that Kim warned leadership that Grok lacked sufficient safeguards and could produce harmful content, including discriminatory remarks and information related to weapons of mass destruction. According to the lawsuit, these risks were evidenced by incidents such as the model likening itself to Hitler and the platform being used to generate non-consensual sexually explicit imagery.
The lawsuit specifically identifies former xAI co-founder Jimmy Ba, rather than Elon Musk, as the primary source of the alleged misconduct. Kim alleges that Ba dismissed his safety warnings, retaliated against him, and prioritized the race to superintelligence over regulatory compliance. The filing claims Ba attempted to bypass European Union safety requirements for the August 2025 release of Grok Code 1 by misrepresenting the model's capabilities. Kim, who previously worked at Scale AI focusing on training data for harmful content identification, alleges he was fired in September 2025 shortly before he intended to present his findings to leadership.
Kim is currently seeking compensatory and punitive damages, as well as a court declaration that the companies' actions were unlawful. Following his departure from xAI, Kim was appointed president of the Centre for AI Safety, a non-profit organization focused on reducing global catastrophic risks from AI. This legal challenge arrives as SpaceX prepares for a significant initial public offering, drawing heightened attention to the tension between rapid innovation and the necessity of robust AI safety protocols.