The head of the US government's Intelligence Advanced Research Projects Activity (IARPA) is leaving the unit this month to take a job with a quantum computing company, WIRED has learned. Rick Muller's pending departure from IARPA comes amid broader efforts to downsize the United States intelligence community, including the Office of the Director of National Intelligence (ODNI), which oversees IARPA. A person familiar with Muller's plans confirmed to WIRED his departure from IARPA. Born during the aftermath of the September 11, 2001 terrorist attacks, IARPA is tasked with testing AI, quantum computing, and other emerging technologies that could aid the missions of spy agencies including the Central Intelligence Agency and National Security Agency. The Trump administration reportedly has been moving to cut the workforces of intelligence agencies as part of the president's broad efforts to dismantle diversity programs and streamline government operations.

Director of National Intelligence Avril Haines has selected Adele Merritt to serve as chief information officer for the Intelligence Community. Haines announced the news in a statement Monday. Merritt has held several positions in the intelligence community during a career spanning more than two decades. She began her career at the National Security Agency, served as principal deputy CIO for cyber at the Department of Energy, and director and acting senior director for intelligence programs on the National Security Council during the Obama administration, according to ODNI. Merritt was most recently program manager at DreamPort, a cyber innovation nonprofit created by U.S. Cyber Command.

The Office of the Director of National Intelligence (ODNI) has published its long-awaited report on nearly two decades worth of UFO sightings. And for the most part, it leaves more questions open than it answers. ODNI examined 144 reports of what it calls "unidentified aerial phenomenon" or UAP dating back to 2004. Of those, 18 incidents may have involved advanced technology that the US can't explain. "Some UAP appeared to remain stationary in winds aloft, move against the wind, maneuver abruptly, or move at considerable speed, without discernable means of propulsion," the report states.

The U.S. intelligence community released artificial intelligence principles and an ethics framework on Thursday to ensure that intel organizations are safely and legally developing AI systems as the technology quickly evolves. The long-awaited principles and framework, released in two separate documents by the Office of the Director of National Intelligence, are meant to outline the intelligence community's broad values and guidance for the ethical development of AI. The accompanying six-page framework, with 10 stated objectives, is meant to put "meat on the bones" of the stated principles, Ben Huebner, chief of ODNI's Office of Civil Liberties, Privacy, and Transparency, said Thursday on a call with reporters. Huebner said there are a series of questions that practitioners within the 17 intelligence agencies should consider when developing AI. It's a tool, and it's a tool that provides the intelligence community with a consistent approach" to artificial intelligence, Huebner said. The intelligence community is a massive conglomerate of agencies, each tasked with a specific intelligence mission, making it difficult to verify the implementation of these ethics considerations. To ease oversight challenges, a critical piece of the framework calls on AI users in the intel community to adequately document information about the AI technology under development. That would include explanations on the AI's intended use, its design, its limitations, related data sets and changes to its algorithm over time. Asked how ODNI will verify that AI projects at intelligence agencies under its purview are following the framework and principles, Huebner pointed to the documentation guidance that could then be accessible by legal counsels, inspectors general, and privacy and civil liberties officers. By giving us your email, you are opting in to the C4ISRNET Daily Brief. "One of the things I think you see throughout particularly the ethics framework is the incorporation of best practices to allow the folks [in] the oversight community ... the tools they'll need to conduct that oversight," Huebner said. The framework is just the first iteration of ODNI's ethics framework. Huebner told reporters to expect further iterations of the framework as the intel community learns more about the use cases for AI, and as the technology itself matures. Dean Souleles, who runs ODNI's Augmenting Intelligence through Machines Innovation Hub, told reporters that within ODNI's working groups, they are "actively" developing different standards for future use cases. "It is too early to define a long list of dos and don'ts," Souleles said. "We need to understand how this technology works.

Transparency and integrity are two key principles headlining the list of artificial intelligence (AI) ethics released by the Office of the Director of National Intelligence (ODNI). This list, released in combination with an AI ethics framework for the community, represents the first strike by the ODNI to apply guidance to the development and use of AI in the intelligence community. The Principles of Artificial Intelligence Ethics for the Intelligence Community is brief and lists six core principles. In addition to respecting the law and acting with integrity while being transparent and accountable, AI use is to be objective and equitable; secure and resistant; informed by science and technology; and have human-centered development and use. These principles will guide AI use and development activities with the private sector, the public, the legal system and the intelligence community at large, according to the publication.

Building off the Defense Department's recent adoption of five artificial intelligence principles, the Office of the Director of National Intelligence will soon release its own public set of AI principles. Ben Huebner, the chief of ODNI's Civil Liberties, Privacy and Transparency Office, gave a preview of that upcoming strategy Wednesday at an Intelligence and National Security Alliance (INSA) conference. "None of them will be surprises," Huebner said. "We have been very integrated with the work of the [DoD Joint AI Center] and others, and fundamentally, there's a lot of consensus here." Aside from DoD, other corners of the federal government have begun to roll out their own AI ethics platforms.

Dlib is a modern C toolkit containing machine learning algorithms and tools for creating complex software in C to solve real world problems. That will build all the examples. Before you can run the Python example programs you must compile dlib. Note that on windows your compiler might put the test executable in a subfolder called Release. If that's the case then you have to go to that folder before running the test.