Хиймэл оюун ухааны аюулгүй байдлыг хангах, техникийн стандарт боловсруулах чиг үүрэгтэй CAISI агентлагийн захирал Крис Фолл гурван сар ажилласны эцэст албан тушаалаасаа гэнэт чөлөөлөгдлөө.
АНУ-ын Худалдааны яамны харьяа CAISI агентлаг нь хиймэл оюун ухааны загваруудын аюулгүй байдлыг үнэлэх, техникийн стандарт тогтоох гол байгууллага юм. Гэвч тус байгууллага сүүлийн үед хиймэл оюун ухааны салбарт өрнөж буй бодлогын маргаануудад төдийлөн оролцоогүй бөгөөд Цагаан ордноос саяхан зарласан “Gold Eagle” кибер аюулгүй байдлын санаачилгад ч багтаагүй байна.
Крис Фолл нь тус албан тушаалд очсон гурав дахь хүн бөгөөд түүний өмнө Коллин Бёрнс, Дэвид Сакс нар богино хугацаанд ажиллаад явсан юм. Бёрнс нь Anthropic компанитай холбоотой асуудлаас болж албан тушаалаасаа шахагдсан гэх мэдээлэл бий. Одоогоор Крис Фолл ажлаас гарсан шалтгаан тодорхойгүй байгаа бөгөөд Худалдааны яам болон NIST нь LLM загваруудыг хэрхэн үнэлдэг талаарх асуултад хариу өгөөгүй байна.
Энэхүү халаа сэлгээ нь хиймэл оюун ухааны салбарын зохицуулалтын талаарх маргаантай цаг үетэй давхцаж байна. Тухайлбал, Google DeepMind-ийн гүйцэтгэх захирал Демис Хассабис салбарын хэмжээнд бие даасан зохицуулалтын байгууллага байгуулах шаардлагатай байгааг онцолсон бол Хятадын Moonshot компанийн Kimi загварын амжилт нь АНУ-ын зүгээс нээлттэй эх сурвалжтай загваруудад хязгаарлалт тогтоох тухай хэлэлцүүлгийг өрнүүлээд байна.
Дэлгэрэнгүйг эх сурвалжаас харах
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Chris Fall, the director of the Center for AI Standards and Innovation (CAISI), has resigned, the agency confirmed to multiple news outlets.
He was appointed just three months ago after the last appointee, Collin Burns, left in less than a week, The Washington Post reported at the time. Burns was reportedly “pushed out” of the job in April because he previously worked for Anthropic and the Trump administration had been battling with the company, sources told the Post.
No reason was given for Fall’s departure. Prior to leading CAISI, Fall was the director of the Department of Energy’s Office of Science during the first Trump administration and had been the acting director of the DOE’s Advanced Research Projects Agency-Energy. He worked in the DOE’s Office of Naval Research (ONR) prior to that.
Before Burns and Fall, the agency was led by venture capitalist David Sacks, whose title at the time was White House AI and crypto czar. Sacks stepped down in March.
CAISI, which operates under the National Institute of Standards and Technology, is the primary organization for developing technical standards and testing methods for AI models as well as assessing cybersecurity risks. Yet it was not the agency at the center of the most recent model-risk brouhaha.
That occurred in June when the U.S. Commerce Departmentinvoked an obscure export control directive that effectively forced Anthropic to pull its Mythos and Fable models from the market. The ban was lifted by the end of the month, when Secretary of Commerce Howard Lutnick said he was satisfied with Anthropic’s safety plans.
Earlier this month, the White House also signed an executive order for a new AI safety oversight program called “Gold Eagle” that creates a clearinghouse for cybersecurity vulnerability coordination. A host of federal organizations were named as part of the program, including the Commerce Departmentand Department of Homeland Security. But, as CNBC pointed out, CAISI was not among the federal organizations mentioned.
Meanwhile, after Anthropic’s models were freed from the ban, Google DeepMind CEO Demis Hassabis began calling for the creation of an independent, industry-run standards body to regulate frontier AI modeled after FINRA — the same sort of mission that CAISI was formed to tackle.
Fall’s resignation also follows this weekend’s handwringing over Chinese AI lab Moonshot’s new version of itsopen model Kimi, which performed competitively against flagship frontier models. The administration was weighing efforts to somehow ban Chinese open models, Axios reported. This sparked immediate debate and outrage over the weekend, including from Sacks, who argued that regulations shouldn’t be used as a protectionism strategy for U.S. proprietary AI labs.
While CAISI has released a few reports on the capabilities of Chinese open-weight models Z.ai’s GLM-5.2 and DeepSeek V4 Pro, it hasn’t talked much about its processes for testing. (Open weight means these models can be publicly downloaded and run locally, but its training code and datasets are not available). Since July 9, TechCrunch has sent multiple inquiries to both the DoC and NIST about how its LLM evaluations work and has not received a response.
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