Business

August 31, 2018
 

Raytheon developing system that lets artificial intelligence explain itself

Under the Defense Research Project Agency’s Explainable Artificial Intelligence program, Raytheon BBN Technologies is developing a first of its kind neural network that explains itself.

The XAI program aims to create a suite of machine learning techniques that produce more explainable models while maintaining a high level of performance. It also aims to help human users understand, appropriately trust and effectively manage the emerging generation of artificially intelligent partners.

Raytheon BBN’s Explainable Question Answering System will allow AI programs to ‘show their work,’ increasing the human user’s confidence in the machine’s suggestions. “Our goal is to give the user enough information about how the machine’s answer was derived and show that the system considered relevant information so users feel comfortable acting on the system’s recommendation,” said Bill Ferguson, lead scientist and EQUAS principal investigator at Raytheon BBN.

EQUAS will show users which data mattered most in the AI decision-making process. Using a graphical interface, users can explore the system’s recommendations and see why it chose one answer over another. The technology is still in its early phases of development but could potentially be used for a wide-range of applications.

“A fully developed system like EQUAS could help with decision-making not only in DOD operations, but in a range of other applications like campus security, industrial operations and the medical field,” said Ferguson. “Say a doctor has an x-ray image of a lung and her AI system says that its cancer. She asks why and the system highlights what it thinks are suspicious shadows, which she had previously disregarded as artifacts of the X-ray process. Now the doctor can make the call — to diagnose, investigate further, or, if she still thinks the system is in error, to let it go.”

As the system is enhanced, EQUAS will be able to monitor itself and share factors that limit its ability to make reliable recommendations. This self-monitoring capability will help developers refine AI systems, allowing them to inject additional data or change how data is processed. 




All of this week's top headlines to your email every Friday.


 
 

 

U.S. Army places $194 million order for small-caliber ammo

Northrop Grumman announced April 16 that its wholly owned subsidiary Alliant Techsystems Operations LLC has received orders totaling $194 million from the U.S. Army for small-caliber ammunition. Orders were placed for 5.56mm, 7.62mm and Cal. 50 cartridges under the company’s supply contract to produce small-caliber ammunition for the U.S. government at the Lake City Army...
 
 

Northrop Grumman KC-135 infrared countermeasures system for achieves Milestone C

Air Force photograph Northrop Grumman’s laser-based LAIRCM infrared countermeasure packages advanced missile warning sensors, a pointer/tracker and processor into a pod that can be transferred between KC-135 aircraft for surv...
 
 

Lockheed Martin inks long-term contracts with more F-35 suppliers

Lockheed Martin has transitioned additional F-35 suppliers to longer term Performance Based Logistics contracts and Master Repair Agreements to enhance supply availability and reduce sustainment costs. “As the F-35 fleet expands, we are partnering with our customers and taking aggressive actions to enhance F-35 readiness and reduce sustainment costs,” said Greg Ulmer, Lockheed Marti...