The Army tested an artificial intelligence tool on the $450 million competition, and its outputs reached evaluators and the contracting officer. The government did not provide many details on that until the judge pressed.
Treat autonomy as a dial, not a switch: start narrow, log everything and let AI agents earn trust overtime, writes Atul Arya, founder and CEO of Blackstraw AI.
Lawmakers introduced several measures this week looking to rein in some of the potential abuses and dangers of using AI, as well as a proposal that looks to leverage AI for pediatric cancer research and treatment.
Four lawmakers stressed the need for more working days and bipartisan teamwork to respond to the national calls for strong artificial intelligence protections.
Forward-deployed engineers are the ones who consistently translate artificial intelligence deployments into documented results and not enough of them are senior enough, a new study says.
A $450M bid protest over an alleged AI hallucination is a preview of what's coming for every agency using AI in source selection, writes David Smalley with defense AI firm Seekr.
A Northern California judge found that the AI company’s products did not represent a meaningful threat to national security, making the Pentagon’s designation “unlawful retaliation.”
Artificial intelligence is accelerating engineering, but America’s long-term advantage will depend on how effectively government and industry connect digital innovation, physical testing and engineering expertise into a continuous learning cycle. writes Artie Mabbett, CEO of North Wind.
The Pentagon must build an allocation structure to precede its purchases of artificial intelligence tokens, writes John Mark Suhy, chief technology officer at Greystones Group.
Contractors play a critical role in helping agencies apply artificial intelligence as concerns grow about the data infrastructure underlying it all, writes Katherine Hennessey of Everpure.
Matt Jones, CEO at Sigma Defense, explains how a pickleball app epiphany showed him why contractors billing for hours — not outcomes — will not survive what is coming.
The stance is more aggressive than that of many groups representing contractors, who told GSA to revise, rather than withdraw, the proposed large language model acquisition rule.
