12 mars 2024 | International, Aérospatial
Air Force budget backs Raytheon hypersonic, no Lockheed missile funds
The ARRW program's future has been in doubt since a key test was unsuccessful a year ago, but one more test remains.
11 juin 2020 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité
Defense bill to include billion dollars for pandemic response and preparedness
By: Joe Gould
WASHINGTON ― A key House Democrat will propose a billion-dollar pandemic response and preparedness fund in the annual defense policy bill, Defense News has learned. The bill would help boost production of key medical equipment sought by states amid the country's fight against the coronavirus pandemic.
House Armed Services Committee Chairman Adam Smith, D-Wash., will include the measure in his committee's version of the 2021 National Defense Authorization Act as a means to strengthen the Department of Defense and the country's ability to respond to a potential COVID-19 resurgence and other future infectious diseases, according to a House aide familiar with the proposal.
The proposal comes as Smith and other Democrats have criticized President Donald Trump as neither sufficiently marshaling American industry to produce medical equipment like swabs, masks and ventilators, nor coordinating with states on their needs. Still, Trump has partially invoked the Defense Production Act, and the Pentagon has had a central role awarding millions of dollars in contracts to address shortages for these items.
“Looking forward, I intend to include in this year's National Defense Authorization Act an effort to proactively look beyond the response to COVID-19 and increase preparedness and resilience for future pandemics,” Smith said in prepared remarks for Wednesday's HASC hearing on the DoD's efforts to mitigate the effects of the coronavirus pandemic.
The U.S. military, Smith said, “has a unique ability to lead” in efforts to ramp up domestic production of key equipment, “given its experience in acquisition and stockpile management that has already been a deep resource to the federal government response.”
At that hearing, Undersecretary of Defense for Acquisition and Sustainment Ellen Lord is expected to testify that the DoD's Joint Acquisition Task Force has executed $284 million of a planned $312 million for medical resources ― and that there have been challenges in reducing America's dependence on overseas suppliers.
“Reconstituting domestic production or creating new production that shifted offshore years ago often requires capital equipment expenditures, retooling, and re-training of the workforce,” Lord said in her prepared testimony. “It can be months before a supplier is fully capable of producing components or end-items at scale, and these timelines are taken into account when reviewing projects to ensure production increases align to prospective needs of medical items.”
Major elements of Smith's proposal will aim to strengthen the small business supply chain for essential gear like personal protective equipment; improve the DoD's ability to rapidly acquire and manufacture response supplies using the organic industrial base; and increase DoD research funding for infectious disease detection, treatment and response technologies. Details of the proposal are expected to be released publicly with the bill in late June.
The billion dollars for the fund would come from unspecified, “lower priority accounts” in the NDAA, the aide familiar with the proposal told Defense News. (The House and Senate are each expected to propose a $740 billion bill, in line with the most recent bipartisan budget agreement.)
“The monies in this fund were identified through routine reviews of [the president's fiscal 2021] budget requests. The COVID crisis has made clear the need for a more aggressive effort to prepare for and enhance resilience in the face of future pandemics,” the aide said. “The approximate $1 billion is less than one-seventh of a percent of the overall DoD budget [request].”
If passed into law, the legislation would seem to hand the Defense Department a mission of supporting domestic health care, which falls outside of its traditional responsibilities, said Todd Harrison, a defense budget analyst with the Center for Strategic and International Studies.
“It's not been a core area for DoD, but the reason people tend to turn to DoD in times like this is the military has the manpower and logistics infrastructure to mobilize and bring a lot of people to a problem very quickly: Do contact tracing, do testing, set up field hospitals,” Harrison said. “Plus, the NDAA is a must-pass piece of legislation every single year, so if you want something funded, you put it in and it will at least get a vote.”
The Trump administration has been criticized for a delayed response to the outbreak and a lack of organization in providing tests and medical supplies. Smith, who steers the House version of the NDAA, has telegraphed for weeks that he might pursue action. He has already sent Trump a letter, signed by himself as well as House Energy and Commerce Committee Chairman Frank Pallone, D-N.J., and House Homeland Security Committee Chairman Bennie Thompson, D-Miss., calling for a clear federal strategy to procure medical supplies and the aggregation of the country's needs.
“100,000 deaths in the U.S. from #COVID19,” Smith said in a May 27 tweet. “Yet we still do not have an adequate national testing plan. We are still failing to use the full force of the Defense Production Act to produce the supplies we need.”
On July 1, HASC is expected to mark up its version of the NDAA. The Senate Armed Services Committee this week began closed-door consideration of its version of the NDAA, which is typically reconciled with the House's bill.
Because the NDAA is the authorization bill, Congress would have to follow suit in appropriations bills for Smith's forthcoming pandemic response and preparedness proposal to receive funding.
Sur le même sujet
-
-
31 octobre 2023 | International, Terrestre
New NASAMS cooperative arrangement established between Norway, RTX and KONGSBERG
The agreement, which was signed at the Norwegian ambassador’s residence in Washington DC in October, will lay the foundation to further enhance NASAMS’ already robust and combat-proven air defence capabilities.
-
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/