Artificial intelligence (AI) technologies – and their potentially huge impacts on the economy and the American workforce – are generating plenty of buzz on Capitol Hill but not yet enough to solidify any large-scale legislative agendas that would impact the technology and its use. […]

The Senate version of the Fiscal Year 2020 National Defense Authorization Act (NDAA) includes multiple provisions in the bill’s report that push the Department of Defense (DoD) to make greater investments in cybersecurity and artificial intelligence (AI).

The United States must maintain its advantage in artificial intelligence and quantum computing over countries like China by placing the building blocks for a future workforce, according to Rep. Will Hurd, R-Texas.

The Defense Department (DoD) needs to operate at a fast pace to maintain global advantage, and artificial intelligence (AI) technologies are paving the way forward to more rapid response to national security threats and dangers, Defense Innovation Unit (DIU) Deputy Director Mike Madsen said today.

Federal government IT leaders agreed on Wednesday that workforce skills and data availability are two of the most important issues facing the government as it gears up to harness the benefits of machine learning and artificial intelligence in cybersecurity.

The Joint Artificial Intelligence Center (JAIC) considers FY20 to be a breakout year for AI-enabled capabilities as it focuses on projects including predictive health; AI for maneuver and fires; and the Joint Common Foundation (JCF).

The latest research from MeriTalk finds what while artificial technology (AI) development is viewed by many in government and industry as still in the blush of youth, the technology is poised to rapidly outgrow its present suit of clothes.

Everyone seems to know a little bit about artificial intelligence (AI) technologies, with casual opinions running the gamut from utopian dreamscapes to dystopian robot nightmares.

Scientists at the National Center for Atmospheric Research (NCAR) – a research and development center funded by the National Science Foundation (NSF) – found that facial recognition systems can help improve hailstorm predictability and severity by using AI techniques associated with facial recognition technology.

For harnessing the capabilities of artificial intelligence (AI) and automation, Federal agencies are focusing attention on “low-hanging fruit,” or easily solvable problems, as a strategic approach to utilizing the emerging technologies.

The National Institute of Standards and Technology (NIST) released a plan on Aug. 10 to prioritize Federal agency engagement in developing standards for artificial intelligence (AI), just before the deadline of an executive order issued in February that gave the agency 180 days to develop a plan.

The General Services Administration (GSA) recommends that agencies use IT Schedule 70 to procure solutions to implement Technology Business Management (TBM) practices – including advanced tools like artificial intelligence (AI) and robotics process automation (RPA) – alongside IT financial management solutions.

The Defense Advanced Research Projects Agency (DARPA) announced in an Aug. 2 news release it is seeking proposals for a new program in the agency’s multi-year, $2-billion AI Next Campaign.

AI maturation and adoption should have elements of a natural process to prevent system rejection and enhance cybersecurity.

The National Science Foundation (NSF) announced it will hold a workshop next month that will focus on artificial intelligence (AI) applications to improve wireless spectrum efficiencies.

Rep. Jerry McNerney, D-Calif., co-chair of the House AI Caucus, said last week that artificial intelligence (AI) technologies have the potential to create “tremendous public good,” but also warned of risks the technology poses including job losses.

A principal author of Senate legislation that would pump $2.2 billion of Federal funding into development of artificial intelligence (AI) technologies over the next five years said last week that investment would help a host of industry sectors including healthcare, energy, and agriculture.

Government agencies are excited to implement artificial intelligence (AI) and automated technologies, but should remain aware of the risks and challenges of doing so, says a new report from the Partnership for Public Service and the IBM Center for the Business of Government.

The Organization for Economic Cooperation and Development (OECD) plans to open later this year an artificial intelligence (AI) policy “observatory,” following the OECD’s approval in May of an intergovernmental standard on AI agreed to by 36 member countries including the U.S.

Gary Washington, CIO at the Department of Agriculture (USDA), spoke enthusiastically today about the agency’s ongoing approach to emerging technologies – including robotic process automation (RPA), artificial intelligence (AI), and blockchain – and said the technologies have the potential to become “a very large part of our future.”