Vente de Rafale et de frégates FDI : les PDG de Dassault Aviation et de Naval Group attendus ce jeudi en Grèce

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  June 22, 2020 | International, C4ISR

  Artificial intelligence systems need ‘checks and balances’ throughout development

  Andrew Eversden The Pentagon's primary artificial intelligence hub is already studying how to aim a laser at the correct spot on an enemy vehicle, pinpointing which area to target to inflict the most damage, and identifying the most important messages headed to commanders, officials said June 16. But as part of that work, the Department of Defense needs to carefully implement checks and balances into the development process, experts urged June 16. “Fundamentally I would say there's a requirement ... that there's going to be a mixture of measures taken to ensure the governability of the system from the first stage of the design of the system all the way up through the operations of the system in a combat scenario,” said Greg Allen, the Joint Artificial Intelligence Center's chief of strategy and communications at the Joint Artificial Intelligence Center, at the Defense One Tech Summit June 16. The JAIC is working on several lethality projects through its new joint warfighting initiative, boosted by a new contract award to Booz Allen potentially worth $800 million. “With this new contract vehicle, we have the potential to do even more this next year than we did in the past,” Allen said. Meanwhile, the Army's Artificial Intelligence Task Force is working on an advanced threat recognition project. DARPA is exploring complementing AI systems that would identify available combat support assets and quickly plan their route to the area. Throughout all of the development work, experts from the military and from academia stressed that human involvement and experimentation was critical to ensuring that artificial intelligence assets are trustworthy. The department has released a document of five artificial intelligence ethical principles, but the challenge remains implementing those principles into projects across a department with disparate services working on separate artificial intelligence projects. “We want safe, reliable and robust systems deployed to our warfighters,” said Heather Roff, senior research analyst at the Johns Hopkins Applied Physics Lab. “We want to be able to trust those systems. We want to have some sort of measure of predictability even if those systems act unpredictably.” Brig. Gen. Matt Easley, director of the artificial intelligence task force at Army Futures Command, said the service is grappling with those exact challenges, trying to understand how the service can insert “checks and balances” as it trains systems and soldiers. Easley added that the unmanned systems under development by the Army will have to be adaptable to different environments, such as an urban or desert scenarios. In order to ensure that the systems and soldiers are ready for those scenarios, the Army has to complete a series of tests, just like the autonomous vehicle industry. “We don't think these systems are going to be 100 percent capable right out of the box,” Easley said on the webinar. “If you look at a lot of the evolution of the self-driving cars throughout our society today, they're doing a lot of experimentation. They're doing lots of testing, lots of learning every day. We in the Army have to learn how to go from doing one to two to three vehicle experiments to have many experiments going on every day across all our camp posts and stations.” Increasingly autonomous systems also mean that there needs to a cultural shift in among all levels of military personnel who will need to better understand how artificial intelligence is used. Roff said that operators, commanders and judge advocate generals will need to better understand how systems are supposed “to ensure that the human responsibility and governability is there.” “We need to make sure that we have training, tactics, procedures, as well as policies, ensuring where we know the human decision maker is,” Roff said. https://www.c4isrnet.com/it-networks/2020/06/18/artificial-intelligence-systems-need-checks-and-balances-throughout-development/