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February 4, 2019 | International, C4ISR

DARPA: Building Trusted Human-Machine Partnerships

A key ingredient in effective teams – whether athletic, business, or military – is trust, which is based in part on mutual understanding of team members' competence to fulfill assigned roles. When it comes to forming effective teams of humans and autonomous systems, humans need timely and accurate insights about their machine partners' skills, experience, and reliability to trust them in dynamic environments. At present, autonomous systems cannot provide real-time feedback when changing conditions such as weather or lighting cause their competency to fluctuate. The machines' lack of awareness of their own competence and their inability to communicate it to their human partners reduces trust and undermines team effectiveness.

To help transform machines from simple tools to trusted partners, DARPA today announced the Competency-Aware Machine Learning (CAML) program. CAML aims to develop machine learning systems that continuously assess their own performance in time-critical, dynamic situations and communicate that information to human team-members in an easily understood format.

“If the machine can say, ‘I do well in these conditions, but I don't have a lot of experience in those conditions,' that will allow a better human-machine teaming,” said Jiangying Zhou, a program manager in DARPA's Defense Sciences Office. “The partner then can make a more informed choice.”

That dynamic would support a force-multiplying effect, since the human would know the capabilities of his or her machine partners at all times and could employ them efficiently and effectively.

In contrast, Zhou noted the challenge with state-of-the-art autonomous systems, which cannot assess or communicate their competence in rapidly changing situations.

“Under what conditions do you let the machine do its job? Under what conditions should you put supervision on it? Which assets, or combination of assets, are best for your task? These are the kinds of questions CAML systems would be able to answer,” she said.

Using a simplified example involving autonomous car technology, Zhou described how valuable CAML technology could be to a rider trying to decide which of two self-driving vehicles would be better suited for driving at night in the rain. The first vehicle might communicate that at night in the rain it knows if it is seeing a person or an inanimate object with 90 percent accuracy, and that it has completed the task more than 1,000 times. The second vehicle might communicate that it can distinguish between a person and an inanimate object at night in the rain with 99 percent accuracy, but has performed the task less than 100 times. Equipped with this information, the rider could make an informed decision about which vehicle to use.

DARPA has scheduled a pre-recorded webcast CAML Proposers Day for potential proposers on February 20, 2019. Details are available at: https://go.usa.gov/xE9aQ.

The CAML program seeks expertise in machine learning, artificial intelligence, pattern recognition, knowledge representation and reasoning, autonomous system modeling, human-machine interface, and cognitive computing. To maximize the pool of innovative proposal concepts, DARPA strongly encourages participation by non-traditional proposers, including small businesses, academic and research institutions, and first-time Government contractors.

DARPA anticipates posting a CAML Broad Agency Announcement solicitation to the Federal Business Opportunities website in mid-February 2019.

https://www.darpa.mil/news-events/2019-01-31

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  • Here’s how many foreign military sales the US State Department OK’d in FY19

    October 7, 2019 | International, Aerospace, Naval, Land, C4ISR, Security

    Here’s how many foreign military sales the US State Department OK’d in FY19

    By: Aaron Mehta WASHINGTON — The U.S. State Department cleared $67.9 billion in weapons in fiscal 2019, in an indication that America's position in the global arms trade remains strong. The number, spread across 64 individual procurement requests from 28 different countries and a NATO consortium, represents the second year in a row that the overall value of foreign military sales requests have slightly declined. But the total still represents almost double the total cleared by the State Department in fiscal year 2016. These numbers represent potential arms sales that the State Department cleared internally, then passed on to Congress through the Defense Security Cooperation Agency. The notifications do not represent final sales; if Congress does not reject the potential sale, it then goes into negotiations, during which dollar figures and quantities of equipment can change. 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And while Taiwan needs U.S. weapons (fighters, tanks and more), there is a legitimate concern that those sales could be halted if there is a broader strategic agreement with China on trade and economic issues. “If that's the case, about 20% of this year's potential deals aren't viable, meaning this would be a step-down year but not quite as low as FY16's $37B in announcements.” From a corporate level, Schweizer estimates Lockheed Martin is the big winner for the year with $32 billion, followed by Raytheon at $15 billion, Boeing at $9 billion, General Dynamics at $3 billion, Northrop Grumman at $1.2 billion and Textron $600 million. A specific wrinkle for FY19's accounting was the inclusion of $3.9 billion as part of a controversial emergency package pushed through by the Trump administration for Saudi Arabia and the UAE. For the better part of a year, those weapons were tied up in Congress over concerns of how they will be used as part of the Saudi-led actions against Iranian-backed fighters in Yemen, an operation that has contributed to a humanitarian crisis in that country. The issue escalated following the death of columnist Jamal Khashoggi, which has been tied to the Saudi royal family. In May, the State Department announced that an emergency exemption would be used to push those arm sales through; while the administration cited a broad threat from Iran in the region as the reason, the move received bipartisan rebuke from both the Senate and the House, with some members expressing concern this was a precedent-setting move to take away arms sale veto powers from Congress. That $3.9 billion was divided among seven FMS notifications, four for the UAE and three for Saudi Arabia. https://www.defensenews.com/global/2019/10/04/heres-how-many-foreign-military-sales-the-state-department-okd-in-fy19/

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