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美国政府问责局发现:五角大楼人工智能监督办公室难以跟上该部门的雄心Pentagon AI oversight office struggles to keep pace with department’s ambitions, GAO finds

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美国政府问责局(GAO)发现:截至2026年4月,国防部在《负责任的人工智能战略与实施路径》中提出的64项举措中,仍有29项尚未完成。

根据10月14日发布的报告,问责局还指出人员短缺问题严重阻碍了首席数字与人工智能官(Chief Digital and Artificial Intelligence Officer, CDAO)推进负责任人工智能政策的能力;而国防部正是依靠这些政策来加速人工智能技术的应用。

The Pentagon office tapped in 2022 to oversee the military’s responsible use of artificial intelligence had filled just three of its 10 authorized positions for the mission as of February 2026, even as the department pursues a strategy to accelerate AI development, a government watchdog found. The Government Accountability Office discovered that 29 of 64 efforts outlined in the Defense Department’s Responsible AI Strategy and Implementation Pathway remained incomplete as of April 2026.

乔治城大学安全与新兴技术中心(Center for Security and Emerging Technology)的分析副主任欧文·丹尼尔斯(Owen Daniels)表示:“负责任的人工智能应被视为‘真正具备实际操作效果的人工智能’。”他认为,有效的测试、评估、验证与确认机制能够帮助军方管理相关风险,同时确保系统按预期运行,并让操作人员充分了解系统的优势与局限性。

According to a report published Oct. 14, the GAO also found that staffing shortages had hindered the Chief Digital and Artificial Intelligence Officer’s ability to take additional steps to implement responsible AI, which the department uses to help accelerate AI adoption. GAO recommended that the department address staffing needs in its Responsible AI Division, which falls under the Chief Digital and Artificial Intelligence Office, and issue a formal charter for the working council.

问责局进一步指出,负责任人工智能工作组(Responsible AI Working Council)直到2024年底才首次召开会议,随后又在2025年8月才再次举行会议。

“Responsible AI should be considered the same as operationally effective AI,” said Owen Daniels, associate director of analysis at Georgetown University’s Center for Security and Emerging Technology.

首席数字与人工智能官向问责局表示,由于其他优先事项(如为生成式人工智能技术制定相关指导方针、以及为政府范围内的AI风险管理机制提供支持)的干扰,负责任人工智能部门一直无法正常召开会议。

Effective testing, evaluation, verification and validation practices can help the military manage risks while ensuring systems operate as intended and operators understand their strengths and limitations, Daniels said. The GAO found that the Responsible AI Working Council did not meet from late 2024 until August 2025.

2025年5月,在关于五角大楼人工智能政策的听证会上,共和党众议员唐·贝肯(Don Bacon)也提出了类似的问责问题。

Chief Digital and Artificial Intelligence Officer, or CDAO, officials told the watchdog agency that other priorities, including developing guidance for generative AI and contributing to government-wide AI risk-management resources, had prevented the Responsible AI Division from organizing meetings.

根据我的观察,国防部在负责人数上并不缺乏,问题在于往往缺乏明确的职责划分——即不清楚谁该对什么负责。来自国防部四个部门的官员向美国政府问责局(GAO)表示,在项目暂停期间,他们在实施相关政策时遇到了诸多困难,而这些困难本可以通过加强合作来克服。

Rep. Don Bacon, R-Neb., raised a related concern about accountability during a May 2025 hearing regarding the Pentagon’s AI posture. “It’s my observation that the Defense Department doesn’t lack in the number of principals, but rather, it often struggles with too little clarity in who is responsible for what.”

2026年2月20日,美国陆军少校史蒂文·麦克弗森在“Maven智能系统”上进行训练。(美国陆军军士长惠特尼·休斯摄)U.S. Army Maj. Steven McPherson trains on the Maven Smart System on Feb. 20, 2026. (Master Sgt. Whitney Hughes/U.S. Army)

在接受调查的国防部十个部门中,有六个部门认为,如果能够共享负责AI相关资源的最佳实践,他们将能够更有效地将国防部制定的“负责任的人工智能”(Responsible AI)原则应用到各自的人工智能项目中。

Officials from four DoD components told the GAO they faced implementation challenges during the hiatus that could have benefited from greater collaboration. Six of the 10 DoD components surveyed said sharing responsible AI resources and best practices would increase their ability to incorporate the department’s six Responsible AI tenets into their AI use cases.

该委员会于2025年8月恢复了会议活动,但美国政府问责局指出,该委员会仍缺乏一份正式的章程来明确其职责以及会议召开的频率。报告指出:“如果没有这样的章程来界定各成员的职责以及会议频率,委员会很可能会再次陷入停滞状态;这种停滞可能会增加国防部在实施‘负责任的人工智能’政策时遇到问题的风险,而届时国防部可能缺乏足够的协作能力来迅速、有效地解决这些问题。”

The council resumed meetings in August 2025, but the GAO found it still lacked a formal charter defining its responsibilities and specifying how frequently it should meet. “Without a charter that defines roles and responsibilities for the council ... and that specifies the frequency of council meetings, the council is at risk of lapsing again,” the GAO report reads. “Such a lapse could increase the risk of DOD facing Responsible AI implementation issues that it would not have the collaborative capacity to swiftly and effectively resolve.”

国防部人工智能办公室主任(CDAO)的官员向美国政府问责局表示,在该办公室重组并隶属于国防部研究与工程副部长办公室期间,他们不太可能填补空缺职位或增加人员编制。

CDAO officials told the GAO they were unlikely to fill vacant positions or increase staffing while the office underwent restructuring, following its realignment to the Office of the Under Secretary of Defense for Research and Engineering.

对此,美国政府问责局认为,如果国防部能够采取行动确保有足够的人员来满足这些需求,那么CDAO在推动整个部门加速采用人工智能技术方面就能取得更大的进展。

In response, the GAO argued that “by ... taking action to ensure it has staff in place to meet those needs,” CDAO could make better progress toward its goal of accelerating AI across the department.

丹尼尔斯(Daniels)指出,人员短缺可能会阻碍在整个部队中普及人工智能知识。他说:“从实际操作的角度来看,部队成员必须具备人工智能相关知识,因为作战人员将负责决定何时使用基于人工智能的系统。他们需要了解人工智能系统的局限性,并知道在什么情况下不应将决策权交给机器,而应依靠自己的判断。”

Daniels said the staffing shortfall could make it more difficult to build AI literacy throughout the force. “Operationally, the force needs to become AI literate, as warfighters will be responsible for determining when to deploy AI-enabled systems,” he said. Service members need to understand AI systems’ limitations and recognize when delegating decisions to machines may be inappropriate, rather than defaulting to a machine’s judgment, Daniels said.

他说:“要对军事人工智能系统行使有意义的人类控制——或者用国防部的说法,即保持适当水平的人类判断——就需要在开发、严格的测试与评估以及训练过程中,充分了解系统的运行边界。”

“Exercising meaningful human control — or to use the department’s term, appropriate levels of human judgment — over a military AI system requires robustly understanding a system’s operating boundaries through development, rigorous testing and evaluation, and training,” he said.

据该监督机构称,国防部同意了政府问责局的两项建议,即为负责任人工智能工作委员会发布一份章程,并解决负责任人工智能司的人力需求问题。

The DoD agreed with the GAO’s two recommendations to issue a charter for the Responsible AI Working Council and address the Responsible AI Division’s workforce needs, according to the watchdog.

政府问责局还敦促国会命令国防部落实此前的建议,包括界定参与人工智能活动的各组织的职责,并为确定和管理国防部人工智能人才队伍分配责任和时间表。

The GAO also urged Congress to order the department to implement earlier recommendations, including defining the responsibilities of organizations involved in AI activities and assigning responsibility and a timeline for identifying and managing the department’s AI workforce.

在9月21日的一封信中,参议员杰克·里德(民主党-罗得岛州)、马克·沃纳(民主党-弗吉尼亚州)和克里斯·库恩斯(民主党-特拉华州)表示担心,五角大楼推进人工智能的步伐可能超过了其治理努力。

In a Sept. 21 letter, Sens. Jack Reed, D-R.I., Mark Warner, D-Va., and Chris Coons, D-Del., expressed concern that the Pentagon’s AI push could be outpacing its governance efforts.

信中写道:“近期发生的事件让我们越来越担心,你监督下的各机构在多大程度上将加速采用人工智能能力和‘实验’置于有效治理之上。”里德还呼吁国会为军事人工智能建立更明确的护栏。

“Recent events have given us growing concern about the extent to which agencies under your oversight have prioritized acceleration of AI capability adoption and ‘experimentation’ over effective governance,” the letter reads. Reed has also called for Congress to establish clearer guardrails for military AI.

他说:“国会必须履行自己的职责,提供均衡的监督、标准和规则。”

“Congress must do its job and provide balanced oversight, standards, and rules of the road,” he said.

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