Cyber Security Brainstorm

The Intelligence Advanced Research Projects Activity (IARPA) announced it will host a Proposers’ Day on Feb. 26 for its Secure, Assured, Intelligent Learning Systems (SAILS) program, and its Trojans in Artificial Intelligence (TrojAI) program. […]

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.






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Machine learning AI modernization

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.






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The Department of Defense released a summary of the DoD AI Strategy today that sets goals to support military personnel and protect the country, with the Joint Artificial Intelligence Center (JAIC) leading the effort.






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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.






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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.






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Top officials from communications industry trade groups told members of the Senate Commerce, Science, and Transportation Committee today what few, if any, in the hearing room would disagree with:  the United States needs to win the global race to leadership in 5G communications services and technologies.






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Department of Defense (DoD) and private sector leaders gathered to discuss the state of cybersecurity in the U.S. military during a Tuesday Federal Executive Forum webinar.






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Google HQ

Maria Roat, chief information officer at the Small Business Administration, provided a run-down of her office’s extensive to-do list during a keynote address on Thursday at the Veritas Public Sector Vision Day event, and emphasized the importance of laying the proper data-management policy groundwork before embarking on cloud deployments and forays into artificial intelligence (AI) technologies.






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From a cybersecurity perspective, the strengths of artificial intelligence (AI) and machine learning (ML) are also weaknesses. The capacity to crunch massive amounts of data, identify patterns, and learn while working covers a lot of territory, but also leaves room for vulnerabilities, which Pentagon and Intelligence Community (IC) researchers want to close up. And the job doesn’t look easy.






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The Department of Defense (DoD) has put a lot of emphasis on speeding up the acquisition and development of new technologies out of a need to keep pace with new advances and potential adversaries. But a new report from the Government Accountability Office (GAO)–evaluating the Army Futures Command modernization effort–throws in a word of caution, saying there is such a thing as going too fast.






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When the Department of Defense considers its sweeping plans for artificial intelligence, the biggest challenges might not be with the technology itself. It just might be with the boots on the ground, even if the ground is inside a data center.






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Health and Human Services HHS

In a Department of Health and Human Services (HHS) blog post, released Thursday, the HHS Office of the Chief Technology Officer (CTO) and Presidential Innovation Fellows (PIF) announced that they have completed a 14-week pilot program that sought to “improve clinical trials, experimental therapies, and data-driven solutions” for challenges stemming from cancer, Lyme disease, and other tick-borne diseases using Federal data and artificial intelligence (AI).






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Cyber Security Brainstorm

With emerging technologies like artificial intelligence (AI) and blockchain continuing to reveal their capabilities to the marketplace, Federal IT leaders discussed the potential–and the pitfalls–of implementing new technology in government during a Thursday session at an event hosted by the Armed Forces Communications and Electronics Association (AFCEA).






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GSA General Services Administration

The General Services Administration’s (GSA) adoption of robotic process automation (RPA) technologies is progressing at a measured but steady pace, and the official heading the agency’s efforts said on Wednesday he is hoping that some of those efforts prove to be “home runs” that will help spur further adoption.






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