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Two US Army projects seek to improve comms between soldiers and AI
Researchers are "attacking a similar problem from opposite ends" to improve communication between artificial intelligence and the war fighter.
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In an evaporating OODA loop, time is of the essence
The time needed to observe and assess, direct resources, make decisions, and take action will be too long to be able to muster a successful cyber defense.
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Intel community releases framework for ethically using artificial intelligence
Two documents lay a foundation for the ethical development and use of artificial intelligence by the U.S. intelligence community.
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Pentagon AI team sets sights on information warfare
The JAIC's newest mission area is joint information warfare.
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Could this software help users trust machine learning decisions?
BAE Systems says their new MindfuL software will essentially audit machine learning systems, providing human users with more context about the systems' output.
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Pentagon AI center shifts focus to joint war-fighting operations
The Joint Artificial Intelligence Center is focusing its efforts on building AI for the Department of Defense's Joint All-Domain Command and Control concept.
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Watchdog finds the Pentagon needs to improve artificial intelligence project management
Poor management of artificial intelligence projects in the Department of Defense could erode the United States’ competitive advantage in the emerging technology, the Defense Department’s watchdog warned in a July 1 report.
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AI-infused training coming for drone pilots, sensor ops
The new RPA program takes some cues from the Air Force's Pilot Training Next program.
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House bill would elevate Pentagon’s AI hub to the deputy secretary level
A House subcommittee's draft of the NDAA would give the deputy secretary of defense oversight of the Joint Artificial Intelligence Center.
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Artificial intelligence systems need ‘checks and balances’ throughout development
The Department of Defense is moving forward of artificial intelligence projects for lethality. Experts warn that testing, experimentation and human understanding are critical to creating trustworthy systems.
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