22 avril 2021 | International, Aérospatial
Chinese firm claims new stealth drone may rival US Air Force’s B-21
Zhongtian Feilong has made a prototype it says could be used for precision strikes and as part of a swarm for surveillance.
8 juillet 2019 | International, Autre défense
How the Pentagon can improve AI adoption
By: Graham Gilmer
The excitement of artificial intelligence today is like the space race of the 1960s, when nations were in fierce competition. Now, the United States is in first place. But continued leadership is not a given, especially as competitors, namely China and Russia, are making significant investments in AI for defense. To maintain our technological advantage, safeguard national security, and lead on the world stage, we have an imperative to invest strategically in AI.
The successful and widespread adoption of AI requires the United States take a human-centric and technologically innovative approach to using AI to help maintain the peace and prosperity of our nation. As the Department of Defense and Joint Artificial Intelligence Center (JAIC) continue their efforts to accelerate AI adoption, they must address three key components of successful adoption: building trust in AI technology, operationalizing AI technologies to reach enterprise scale, and establishing ethical governance standards and procedures to reduce exposure to undue risk.
Build trust in AI technology
Fear and distrust hold technology adoption back. This was true during the first three industrial revolutions as mechanization, factories, and computers transformed the world, and it is the case in today's fourth industrial revolution of AI. The confusion surrounding AI has led to teams abandoning applications due to a lack of trust. To build that trust, we must prioritize training, explainability, and transparency.
Trust in technology is built when leaders have accurate expectations around what it is going to deliver, mission owners can identify use cases connected to the core mission, and managers understand the true impact on mission performance. Building trust requires that all users, from executives and managers to analysts and operators, receive training on AI-enabled technologies. Training involves not only providing access to learning resources, but also creating opportunities for them to put their new skills to use. In its formal AI strategy, Pentagon leaders outlined extensive plans for implementing AI training programs across the department to build a digitally savvy workforce that will be key to maintaining the United States' leading position in the AI race.
“Explainable AI” also curbs distrust by showing users how machines reach decisions. Consider computer vision. Users may wonder: How can such a tool sift through millions of images to identify a mobile missile launcher? A computer vision tool equipped with explainable AI could highlight aspects of the image that it uses in identification—in this case, elements that look like wheels, tracks, or launch tubes. Explainable AI gives users a “look under the hood,” tailored to their level of technical literacy.
AI technologies must be more than understandable; they must also be transparent. This starts at the granular system level, including providing training data provenance and an audit trail showing what data, weights, and other inputs helped a machine reach its decision. Building AI systems that are explainable, transparent, and auditable will also link to governance standards and reduce risk.
Operationalize AI at the enterprise scale
AI will only be a successful tool if agencies can use AI at the enterprise level. At its core, this means moving AI beyond the pilot phase to real-world production across the enterprise or deployed out in the field on edge devices.
Successfully operationalizing AI starts early. AI is an exciting new technology, but agencies too enamored with the hype run the risk of missing out on the real benefits. Too many organizations have developed AI pilot capabilities that work in the lab but cannot support the added noise of real-world environments. Such short-term thinking results in wasted resources. Agencies must think strategically about how the AI opportunities they choose to pursue align with their real-world mission and operations.
Leaders must think through the processes and infrastructure needed to seamlessly extend AI to the enterprise at-scale. This involves building scalable infrastructure, data stores and standards, a library of reusable tools and frameworks, and security safeguards to protect against adversarial AI. It is equally important to prioritize investment in the infrastructure to organize, store, and access data, the computational needs for AI (cloud, GPU chips, etc.), as well as open, extensible software tools for ease of upgrade and maintenance.
Establish governance to reduce risk
Governance standards, controls, and ethical guidelines are critical to ensuring how AI systems are built, managed, and used in a manner that reduces exposure to undue risk. While our allies have engaged in conversations about how to ensure ethical AI, China and Russia have thus far shown little concern for the ethical risks associated with AI. Given this tension, it is imperative that the United States maintain its technological advantage and ethical leadership by establishing governance standards and proactive risk mitigation tactics. To this end, in May, three Senators introduced the bipartisan Artificial Intelligence Initiative Act, which includes provisions for establishing a National AI Coordination Office and national standards for testing AI algorithm effectiveness.
Building auditability and validation functions into AI not only ensures trust and adoption, but also reduces risk. By establishing proactive risk management procedures and processes for continuous testing and validation for compliance purposes, organizations can ensure that their AI systems are performing at optimal levels. Governance controls and system auditability also ensure that AI systems and tools are robust against hacking and adversarial AI threats.
AI could be the most transformative technological development of our lifetime—and it's a necessity for maintaining America's competitive edge. To ensure that we develop AI that users trust and can scale to the enterprise with reduced risk, organizations must take a calm, methodical approach to its development and adoption. Focus on these three areas is crucial to protecting our national security, maintaining our competitive advantage and leading on the world stage.
Graham Gilmer is a principal at Booz Allen who helps manage artificial intelligence initiatives across the Department of Defense.
https://www.c4isrnet.com/opinion/2019/07/08/how-the-pentagon-can-improve-ai-adoption/
Sur le même sujet
-
-
14 janvier 2021 | International, Aérospatial
Boeing Wins $1.6 Billion U.S. Air Force KC-46 Order
Lee Hudson January 13, 2021 The U.S. Air Force has awarded Boeing a $1.6 billion contract modification for 12 KC-46A tanker aircraft and anticipates the work will wrap up in April 2023. The order for 12 aircraft is the sixth production lot, which means Boeing is now on contract for 79 KC-46As. The first KC-46 was delivered to the Air Force in January 2019. The funding for the Lot 6 deal is from the fiscal 2020 budget. The company is still awaiting a contract modification for 15 aircraft that are funded in fiscal 2021. “The investments Boeing is making in the KC-46 today will benefit generations of service members,” Jamie Burgess, Boeing KC-46 tanker vice president and program manager, said in a Jan. 12 statement. “I believe the partnership between Boeing and the Air Force will also produce additional KC-46 innovations that will carry the warfighter well into the future.” This year will mark a major decision point for the program because the Air Force expects to decide on a new projection method for the remote vision system (RVS), a technology akin to virtual or augmented reality. To correct a “rubber-sheeting” effect that distorts the image on a visual display used by the boom operator during refueling operations, the Air Force is considering a liquid-crystal display screen or a “collimated mirror design” for the RVS projection method. Once a projection design is selected, a laboratory will build a system to test each new component. Doing ground testing will give the team confidence before installing the new equipment on the actual aircraft. https://aviationweek.com/defense-space/aircraft-propulsion/boeing-wins-16-billion-us-air-force-kc-46-order?elq2=57a289d9235b4bbf82af3324d06072f1
-
11 octobre 2019 | International, Sécurité
Thales and Airbus sign joint agreement to detect cyber threats
Monaco October 9, 2019 - Airbus CyberSecurity and Thales, two European leaders in cybersecurity, have signed a partnership agreement to offer a unique solution against cyber attacks. The solution will combine the file analysis system Orion Malware from Airbus CyberSecurity with Thales's intrusion detection system Cybels Sensor, which obtained Security Visa from the French national cybersecurity agency (ANSSI) in April 2019. This cooperation will enable the two companies to offer the best detection solution on the market, increasing the overall level of cyber defence for businesses and organisations. The partnership for the French market aims to help operators of essential services (OESs) reinforce cyber protection measures required by ANSSI with the Military Programming Law (LPM) -which is similar to the European Network and Information Systems (NIS) directive. The Cybels Sensor detection system from Thales enables OESs and businesses to detect cyber attacks by confidently monitoring their networks. Through real-time analyses of large data volumes to detect potential threats, the sensor alerts cybersecurity teams as early as possible to maximise the protection of monitored networks. Customers already equipped with this solution include Le Groupe La Poste as well as large programmes such as the Galileo's security systems. In conjunction with the Orion Malware solution developed by Airbus CyberSecurity, suspicious files captured on a network by Cybels Sensor are analysed in depth in less than a minute. After the analysis, Orion Malware returns a report detailing the risks and indicators of compromise. A summary accessible to non-experts is also provided to efficiently prepare the response to the incident. At the cutting-edge of research, and already in operation to protect institutional and corporate customers, Orion Malware works like a detonation chamber for malware. It combines the best static and dynamic detection engines to detect the stealthiest malware threats. Orion also integrates artificial intelligence to improve the classification of detected malware. Thanks to the combination of Orion Malware with Cybels Sensor, businesses and organisations can now enhance the overall efficiency of their cyber protection. While offering an unparalleled level of detection, the solution is easy to implement and is fully adapted and optimised for Security Operations Centres (SOCs), incident response and cyber threat intelligence operations. It therefore reduces the costs of operating and protecting IT infrastructure. About Thales Thales (Euronext Paris: HO) is a global technology leader shaping the world of tomorrow today. The Group provides solutions, services and products to customers in the aeronautics, space, transport, digital identity and security, and defence markets. With 80,000 employees in 68 countries, Thales generated sales of € 19 billion in 2018 (on a pro forma basis including Gemalto). Thales is investing in particular in digital innovations – connectivity, Big Data, artificial intelligence and cybersecurity – technologies that support businesses, organisations and governments in their decisive moments. Thales Group About Airbus CyberSecurity Airbus CyberSecurity, a unit of Airbus Defence and Space, provides companies, critical national infrastructures and government and defence organisations with reliable, high-performance products and services to detect, analyse and respond to increasingly sophisticated cyber attacks. www.airbus-cyber-security.com About Airbus Airbus is a global leader in aeronautics, space and related services. In 2018 it generated revenues of € 64 billion and employed a workforce of around 134,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world's leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. This and other press releases and high resolution photos are available on: AirbusMedia Your Contact Bruno Daffix Media Relations Secure Communications, CSR +33 6 4809 9650 bruno.b.daffix@airbus.com View source version on Airbus: https://www.airbus.com/newsroom/press-releases/en/2019/10/thales-and-airbus-sign-joint-agreement-to-detect-cyber-threats.html