The Pentagon is adopting new ethical principles as it prepares to accelerate its use of artificial intelligence technology on the battlefield.
The sophistication of autonomous systems currently being developed across various domains and industries has markedly increased in recent years, due in large part to advances in computing, modeling, sensing, and other technologies. While much of the technology that has enabled this technical revolution has moved forward expeditiously, formal safety assurances for these systems still lag behind. This is largely due to their reliance on data-driven machine learning (ML) technologies, which are inherently unpredictable and lack the necessary mathematical framework to provide guarantees on correctness. Without assurances, trust in any learning enabled cyber physical system’s (LE-CPS’s) safety and correct operation is limited, impeding their broad deployment and adoption for critical defense situations or capabilities.
To address this challenge, DARPA’s Assured Autonomy program is working to provide continual assurance of an LE-CPS’s safety and functional correctness, both at the time of its design and while operational. The program is developing mathematically verifiable approaches and tools that can be applied to different types and applications of data-driven ML algorithms in these systems to enhance their autonomy and assure they are achieving an acceptable level of safety. To help ground the research objectives, the program is prioritizing challenge problems in the defense-relevant autonomous vehicle space, specifically related to air, land, and underwater platforms.
The first phase of the Assured Autonomy program recently concluded. To assess the technologies in development, research teams integrated them into a small number of autonomous demonstration systems and evaluated each against various defense-relevant challenges. After 18 months of research and development on the assurance methods, tools, and learning enabled capabilities (LECs), the program is exhibiting early signs of progress.
This chapter appears concurrently in Age of Robots and includes content and quotes garnered from interviews with James J. Hughes, Jerome Glenn, Ian Pearson, Richard Yonck, John C. Havens and Alexandra Whittington on the Seeking Delphi™ podcast between April of 2017 and November of 2018. **.
“The possibility that 100 years old might become the new 60” : EXCELLENT SLOGAN that doesn’t resort to the troublesome” I word” (“Immortality”)! Good article to share with non-science friends: light on hard science, but good emotional impact, incl. that catchy slogan.
Technology hasn’t just improved our lives; it’s also extended them — considerably.
For most of history, humans lived about 25 years. Real acceleration emerged at the turn of the 20th century, when everything from the creation of antibiotics to the implementation of better sanitation to the increased availability of clean water, and the ability to tackle killers like cancer and heart disease has us living routinely into our 80s. But many scientists believe we’re not stopping there.
The first UAE-made high-performance drone has taken flight.
ADASI, the regional leader in autonomous systems and services, officially launched the Garmousha vertical take-off and landing (VTOL) drone in a deal with the General Headquarters of the UAE Armed Forces.
The drone is a light military unmanned aircraft designed to carry 100kg over a six-hour period and 150km with a high-definition camera.
The US Navy has successfully installed its first Optical Dazzling Interdictor, Navy (ODIN) laser weapon aboard one of its warships. During dry-dock operations, the Arleigh Burke-class guided-missile destroyer USS Dewey (DDG 105) received the stand-alone laser system, which is designed to blind the sensors on Unmanned Aerial Systems (UAS).
The ODIN laser isn’t the first to be deployed on a US Navy warship. That honor goes to the Office of Naval Research’s (ONR) Laser Weapon System (LaWS), which was deployed on the USS Ponce (LPD-15) in 2014. However, this experience by the team behind LaWS at the Naval Surface Warfare Center (NSWC) Dahlgren Division provided the expertise needed to complete the development of ODIN.
Unlike other laser weapons that are designed to destroy targets with blasts of concentrated laser light, ODIN is what is known as a dazzler laser. That is, it’s one of a class of lasers that are intended to blind or distract rather than destroy. Though the legality of using such lasers against human pilots restricts them to only distracting the person by acting like the glare of oncoming headlamps, such lasers can also disable or destroy delicate optical sensors on drones.
Changing a single word can alter the way an AI program judges a job applicant or assesses a medical claim.
I’ve been reading an excellent book by David Wood, entitled, which was recommended by my pal Steele Hawes. I’ve come to an excellent segment of the book that I will quote now.
“One particular challenge that international trustable monitoring needs to address is the risk of more ever powerful weapon systems being placed under autonomous control by AI systems. New weapons systems, such as swarms of miniature drones, increasingly change their configuration at speeds faster than human reactions can follow. This will lead to increased pressures to transfer control of these systems, at critical moments, from human overseers to AI algorithms. Each individual step along the journey from total human oversight to minimal human oversight might be justified, on grounds of a balance of risk and reward. However, that series of individual decisions adds up to an overall change that is highly dangerous, given the potential for unforeseen defects or design flaws in the AI algorithms being used.”
The fifteen years from 2020 to 2035 could be the most turbulent of human history. Revolutions are gathering pace in four overlapping fields of technology: nanotech, biotech, infotech, and cognotech, or NBIC for short. In combination, these NBIC revolutions offer enormous new possibilities: enormous opportunities and enormous risks.
An AI algorithm found an antibiotic that wipes out dozens of bacterial strains, including some of the most dangerous drug-resistant bacteria in the world.
