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Police Robots Are Not a Selfie Opportunity, They’re a Privacy Disaster Waiting to Happen

The arrival of government-operated autonomous police robots does not look like predictions in science fiction movies. An army of robots with gun arms is not kicking down your door to arrest you. Instead, a robot snitch that looks like a rolling trash can is programmed to decide whether a person looks suspicious —and then call the human police on them. Police robots may not be able to hurt people like armed predator drones used in combat— yet —but as history shows, calling the police on someone can prove equally deadly.

Long before the 1987 movie Robocop, even before Karel Čapek invented the word robot in 1920, police have been trying to find ways to be everywhere at once. Widespread security cameras are one solution—but even a blanket of CCTV cameras couldn’t follow a suspect into every nook of public space. Thus, the vision of a police robot continued as a dream, until now. Whether they look like Boston Dynamics’ robodogs or Knightscope’s rolling pickles, robots are coming to a street, shopping mall, or grocery store near you.

The Orwellian menace of snitch robots might not be immediately apparent. Robots are fun. They dance. You can take selfies with them. This is by design. Both police departments and the companies that sell these robots know that their greatest contributions aren’t just surveillance, but also goodwill. In one brochure Knightscope sent to University of California-Hastings, a law school in the center of San Francisco, the company advertises their robot’s activity in a Los Angeles shopping district called The Bloc. It’s unclear if the robot stopped any robberies, but it did garner over 100000 social media impressions and Knightscope claims the robot’s 193 million overall media impressions was worth over $5.8 million. The Bloc held a naming contest for the robot, and said it has a “cool factor” missing from traditional beat cops and security guards.

Brett Vaughan — U.S. Navy Chief AI Officer and AI Portfolio Manager, Office of Naval Research

U.S. Navy Chief Artificial Intelligence Officer, and AI Portfolio Manager, Office of Naval Research.


Brett Vaughan is the U.S. Navy Chief Artificial Intelligence (AI) Officer and AI Portfolio Manager at the Office of Naval Research (ONR).

Mr. Vaughan has 30 years of Defense Intelligence and Technology expertise with strengths in military support, strategic communications, geospatial intelligence (GEOINT), Naval Intelligence and Navy R&D.

He spent two decades in various roles at the National Geospatial-Intelligence Agency (NGA), an additional 10 years in intelligence roles in the Office of the Chief of Naval Operations, and was recently appointed to his current role in 2019.

Mr. Vaughan has Master’s Degrees in Environmental Science from Johns Hopkins University, and in National Security and Strategic Studies from the Naval War College, as well as a Bachelor’s Degree in Geography and Cartography, from University of Mary Washington.

Left of Launch: Artificial Intelligence at the Nuclear Nexus

Popular media and policy-oriented discussions on the incorporation of artificial intelligence (AI) into nuclear weapons systems frequently focus on matters of launch authority—that is, whether AI, especially machine learning (ML) capabilities, should be incorporated into the decision to use nuclear weapons and thereby reduce the role of human control in the decisionmaking process. This is a future we should avoid. Yet while the extreme case of automating nuclear weapons use is high stakes, and thus existential to get right, there are many other areas of potential AI adoption into the nuclear enterprise that require assessment. Moreover, as the conventional military moves rapidly to adopt AI tools in a host of mission areas, the overlapping consequences for the nuclear mission space, including in nuclear command, control, and communications (NC3), may be underappreciated.

AI may be used in ways that do not directly involve or are not immediately recognizable to senior decisionmakers. These areas of AI application are far left of an operational decision or decision to launch and include four priority sectors: security and defense; intelligence activities and indications and warning; modeling and simulation, optimization, and data analytics; and logistics and maintenance. Given the rapid pace of development, even if algorithms are not used to launch nuclear weapons, ML could shape the design of the next-generation ballistic missile or be embedded in the underlying logistics infrastructure. ML vision models may undergird the intelligence process that detects the movement of adversary mobile missile launchers and optimize the tipping and queuing of overhead surveillance assets, even as a human decisionmaker remains firmly in the loop in any ultimate decisions about nuclear use. Understanding and navigating these developments in the context of nuclear deterrence and the understanding of escalation risks will require the analytical attention of the nuclear community and likely the adoption of risk management approaches, especially where the exclusion of AI is not reasonable or feasible.

Artificial intelligence co-pilots US military aircraft for the first time

Artificial intelligence helped co-pilot a U-2 “Dragon Lady” spy plane during a test flight Tuesday, the first time artificial intelligence has been used in such a way aboard a US military aircraft.

Mastering artificial intelligence or “AI” is increasingly seen as critical to the future of warfare and Air Force officials said Tuesday’s training flight represented a major milestone.

“The Air Force flew artificial intelligence as a working aircrew member onboard a military aircraft for the first time, December 15,” the Air Force said in a statement, saying the flight signaled “a major leap forward for national defense in the digital age.”

Autonomous drone carries an 8 lb payload and unlimited flight time

Easy Aerial claims its Albatross UAS is a tethered machine that has an unbreachable data connection.


Drone startup Easy Aerial has launched a new unmanned aerial system (UAS), called Albatross, a tethered device with unlimited flight time and an unbreachable data connection.

The drone hexacopter can carry an 8.5 lb payload capacity with three hardpoints, two on the side that can carry up to 4 lb and the bottom hardpoint that can carry payloads of up to 8 lb. The side payload stations feature standard mounting as well as Picatinny rails that support a wide range of applications such as floodlights, communications relays, loudspeakers and cyber-related and other commercial and military electronic systems. The bottom hardpoint is designed for gimbaled cameras or large ISR loads such as radar or communication jammers.

Because of these features, the system works in applications such as commercial, public safety, firefighting, military, border patrol, perimeter, and infrastructure overwatch and surveillance operations.

Moment meteor explodes near Brazil’s border with Uruguay

This is the moment a bright meteor crossed the sky over Brazil and exploded.

The phenomenon was captured on camera by the Heller and Jung Space Observatory early Monday as it entered the Earth’s atmosphere.

The center’s surveillance system, located in the city of Taquara, recorded the meteor exploding some 462 miles away near the border between Rio Grande do Sul and Uruguay approximately at 2:31am local time.

Expect the Unexpected: Frontiers of Mathematics, Computation, Systems and Design

AI designed to be aware of it’s own competence.


Ira Pastor, ideaXme life sciences ambassador interviews Dr. Jiangying Zhou, DARPA program manager in the Defense Sciences Office, USA.

Ira Pastor comments:

On this episode of ideaXme, we meet once more with the U.S. Defense Advanced Research Projects Agency (DARPA), but unlike the past few shows where we been spent time with thought leaders from the Biologic Technology Office (BTO), today we’re going to be focused on the Defense Sciences Office (DSO) which identifies and pursues high-risk, high-payoff research initiatives across a broad spectrum of science and engineering disciplines and transforms them into important, new game-changing technologies for U.S. national security. Current DSO themes include frontiers in math, computation and design, limits of sensing and sensors, complex social systems, and anticipating surprise.

Dr. Jiangying Zhou became a DARPA program manager in the Defense Sciences Office in November 2018, having served as a program manager in the Strategic Technology Office (STO) since January 2018. Her areas of research include machine learning, artificial intelligence, data analytics, and intelligence, surveillance and reconnaissance (ISR) exploitation technologies.

Robotic dogs to start patrolling Florida military base

Fido, meet F1d0.

Newly developed robotic K9s will soon be prowling Tyndall Air Force Base in Panama City, Florida, to enhance security and surveillance patrolling, WMBB-TV reported Monday.

The 325th Security Forces Squadron, which handles security for the base, said the robo-dogs are weatherproof, four-legged, unmanned patrolling drones that have two-way communication abilities and high-tech sensors that cost about $100,000 a pop, the outlet reported.

SpaceX gets $29 million Space Force contract for surveillance of non-military launches

WASHINGTON — SpaceX was awarded a $29.6 million contract under the National Security Space Launch Phase 2 contract that allows the U.S. Space Force to monitor and study data from the company’s commercial and civil space missions.

The one-year contract “provides early integration studies and fleet surveillance for non-national security space missions,” said the Space Force contract announcement Nov. 9.

Fleet surveillance includes access to proprietary “tools, systems, processes and launch site activities developed by the launch service provider for non-national security space missions,” said the Space Force.

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