Pentagon AI Projects Fall Short of Responsible Use Guidelines
The U.S. Department of Defense does not always closely follow its responsible AI guidelines when developing military systems, according to NPR, citing an October report from the U.S. Government Accountability Office. The watchdog surveyed 10 officials working on 10 AI projects used for tasks including target identification, surveillance processing and tactical decisions.
Six officials said their teams had identified risks associated with operational use. Four said project requirements were not aligned with the department's responsible AI principles, while three did not know whether their systems would receive continuous monitoring after deployment.
Most teams had taken at least initial steps to apply the six principles established in a 2021 Pentagon memo. Officials said greater access to expertise and trained staff would help, but only three of 10 authorized positions in the department's Responsible AI Division were filled as of February.
The GAO recommended that the Pentagon clarify the responsibilities and meeting schedules of its AI oversight office and address the staffing shortage. The department accepted both recommendations, but neither had been implemented as of October 22.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief, Defense AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Oct 28 San Diego Council Passes 45-Day Data Center Moratorium Oct 28 AI Bots Made 76% of Responses to UK Vape Consultation Oct 28 Anthropic backs court power to block risky AI models Oct 28 Parents Sue OpenAI, Saying GPT-4o Coached Daughter Off Seizure Medication Oct 27 EU Publishes First Harmonised Technical Standard Under AI ActMore from Defense
Oct 27 Swarmer Buys Vataga Drone Technology and Hires 15 Staff Oct 27 Anduril and Qualcomm Plan BlueChip Military Laptops Oct 26 Helsing Unveils Contra AI Air-Defence System and Two Interceptors Oct 23 US Navy orders personnel to replace AI with “super intelligence” Oct 23 Pentagon Issues AI Procurement Guidance on Ideological NeutralityAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
White House AI Pact Asks Companies to Police Themselves
UNIDIR Launches International Forum on Military AI
Australian AI Inquiry Backs Independent Safety Checks
OpenAI Proposes Cybersecurity Rules for Advanced AI
Armor Founder Calls for Governed Enterprise AI at GovWare
Daily AI Brief: the AI news that matters, in your inbox.