The White House launched a new online portal–AI.gov–today to outline the Trump administration’s national artificial intelligence (AI) initiatives in a consolidated website. […]

The National Science Foundation’s (NSF’s) proposed FY2020 budget features $492 million for artificial intelligence (AI) and $106 million for quantum information science (QIS) research and development (R&S) funding, despite the White House’s proposed cuts to overall NSF R&D.

Amid research and reports concerning the impact automation and artificial intelligence (AI) will have on the American workforce, the way in which technological change will endanger individuals’ jobs on a gendered basis remains largely unexamined.

The government has been trying to apply artificial intelligence to combat the opioid crisis, with projects like real-time mapping of the signs of illegal drug use, and prescription monitoring programs to identify high rates of opioid prescriptions and incidents of “doctor shopping” for the drugs.

Rep. William Hurd, R-Texas, stressed at IBM’s Think Gov event today that America needs to lead the world in developing 5G wireless networks and artificial intelligence (AI) capabilities, especially with China on the rise as a voracious international competitor, and said successful development and application of the two technologies are inextricably linked.

A bipartisan AI caucus was announced today, led by Sens. Martin Heinrich, D-N.M., and Rob Portman, R-Ohio.

Although the Trump administration’s FY2020 budget proposal details a plan to broadly modernize the government, the fine lines in each department’s proposed funding show that the White House is more specifically geared toward researching and developing artificial intelligence (AI), cybersecurity, IT systems, and technological infrastructure.

Federal and private-sector officials discussed the benefits of integrating artificial intelligence (AI) technologies into Federal agency operations during a panel discussion at this weekend’s Dell Experience at the South by Southwest (SXSW) Conference in Austin, Texas, as well as ethical and technical challenges that come with developing AI applications.

In response to the Trump administration’s American AI Initiative, Intel released its recommendations for a national strategy for artificial intelligence that hashes out the goals and actions needed to advance the AI industry.

Not unlike Michael Jordan in the 1997 NBA Finals–battling illness and requiring cold medicine–General Services Administration (GSA) CIO David Shive today spoke about how implementing artificial intelligence (AI) technologies has reduced costs for GSA, and how the agency has made efforts to better engage with start-ups.

Officials from the intelligence community on Thursday discussed the importance of using artificial intelligence to process and analyze the large amount of collected data by agencies, thus freeing analysts to shift their efforts toward looking into anomalies identified by AI.

Panelists at a Brookings Institution event last week agreed that it’s more important to implement artificial intelligence (AI) and other “smart cities” technologies in a secure and responsible manner, rather than merely to win the race to be the first tech adopters on the block.

It turns out a little knowledge can indeed be a dangerous thing.

That’s something the Army Research Laboratory (ARL) discovered when testing the value of artificial intelligence (AI) as an aid to battlefield decision-making. Researchers from ARL and the University of California, Santa Barbara, found in a series of test scenarios that people trust their own judgement more than they trust an AI’s advice. This was true even when an AI agent provided perfect guidance,  and when ignoring that advice led to negative results. People might trust an AI personal assistant to recommend a movie or the best way to drive to the theater, but not so much when they have skin–or their own skin–in the game.

In late January, the Defense Advanced Research Projects Agency (DARPA) issued a solicitation to invite submissions of innovative basic or applied research concepts in neurotechnology.

A new report from the Center for Long-Term Cybersecurity (CLTC) at the University of California-Berkeley recommends that national governments use their own spending on development and implementation of artificial intelligence (AI) technologies to shape best practices that will help govern activity in the AI arena as use of the technology becomes widespread.

Keeping up with hackers is no small task, particularly since some attacks can be sustained in near-perpetuity. No doubt, securing cyberspace is a daunting responsibility. But focusing on security and using emerging technologies can help us meet the challenges. In particular, when the cyber security personnel of cloud providers and cloud customers work closely together, […] […]

President Trump’s executive order on artificial intelligence (AI) announced by the White House today focuses on prioritizing Federal government investments in AI-driven projects, and development by Federal agencies of research and development budgets for AI that will support their core missions.

Government and policy-makers shouldn’t put up unnecessary barriers to deploying artificial intelligence (AI) over concern of any perceived risks associated with the technology.

While President Trump made only an indirect mention of the importance of emerging technologies in his State of the Union speech last night, the White House’s Office of Science and Technology Policy (OSTP) was busy tying the President’s call for government investment in “cutting edge industries” to emerging technology sectors including quantum computing, artificial intelligence (AI), and 5G wireless services.

The Defense Department’s newly published cloud strategy leans heavily on several core concepts including maximizing competition among cloud service providers, sticking to a single cloud strategy, leveraging commercial-sector best practices, creating a culture for better technology evolution, and above all else supporting warfighters and increasing their lethality.