DARPA Announces $2 Billion Campaign to Develop Next Wave of AI Technologies
(Source: DARPA; issued Sept. 07, 2018)
DARPA’s multi-year strategy seeks contextual reasoning in AI systems to create more trusting, collaborative partnerships between humans and machines.
Over its 60-year history, DARPA has played a leading role in the creation and advancement of artificial intelligence (AI) technologies that have produced game-changing capabilities for the Department of Defense. Starting in the 1960s, DARPA research shaped the first wave of AI technologies, which focused on handcrafted knowledge, or rule-based systems capable of narrowly defined tasks. While a critical step forward for the field, these systems were fragile and limited. Starting in the 1990s, DARPA helped usher in a second wave of AI machine learning technologies that created statistical pattern recognizers from large amounts of data.
The agency's funding of natural language understanding, problem solving, navigation and perception technologies has led to the creation of self-driving cars, personal assistants, and near-natural prosthetics, in addition to a myriad of critical and valuable military and commercial applications. However, these second wave AI technologies are dependent on large amounts of high quality training data, do not adapt to changing conditions, offer limited performance guarantees, and are unable to provide users with explanations of their results.
To address the limitations of these first and second wave AI technologies, DARPA seeks to explore new theories and applications that could make it possible for machines to adapt to changing situations. DARPA sees this next generation of AI as a third wave of technological advance, one of contextual adaptation. To better define a path forward, DARPA is announcing today a multi-year investment of more than $2 billion in new and existing programs called the “AI Next” campaign. Agency director, Dr. Steven Walker, officially unveiled the large-scale effort during closing remarks today at DARPA’s D60 Symposium taking place Wednesday through Friday at the Gaylord Resort and Convention Center in National Harbor, Maryland.
“With AI Next, we are making multiple research investments aimed at transforming computers from specialized tools to partners in problem-solving,” said Dr. Walker. “Today, machines lack contextual reasoning capabilities, and their training must cover every eventuality, which is not only costly, but ultimately impossible. We want to explore how machines can acquire human-like communication and reasoning capabilities, with the ability to recognize new situations and environments and adapt to them.”
DARPA is currently pursing more than 20 programs that are exploring ways to advance the state-of-the-art in AI, pushing beyond second-wave machine learning techniques towards contextual reasoning capabilities. In addition, more than 60 active programs are applying AI in some capacity, from agents collaborating to share electromagnetic spectrum bandwidth to detecting and patching cyber vulnerabilities. Over the next 12 months, DARPA plans to issue multiple Broad Agency Announcements for new programs that advance the state of the art in AI.
Under AI Next, key areas to be explored may include automating critical DoD business processes, such as security clearance vetting in a week or accrediting software systems in one day for operational deployment; improving the robustness and reliability of AI systems; enhancing the security and resiliency of machine learning and AI technologies; reducing power, data, and performance inefficiencies; and pioneering the next generation of AI algorithms and applications, such as “explainability” and commonsense reasoning.
In addition to new and existing DARPA research, a key component of the campaign will be DARPA’s Artificial Intelligence Exploration (AIE) program, first announced in July 2018. “In today’s world of fast-paced technological advancement, we must work to expeditiously create and transition projects from idea to practice,” said Dr. Walker.
Accordingly, AIE constitutes a series of high-risk, high payoff projects where researchers will work to establish the feasibility of new AI concepts within 18 months of award. Leveraging streamlined contracting procedures and funding mechanisms will enable these efforts to move from proposal to project kick-off within three months of an opportunity announcement.
The Pentagon Plans to Spend $2 Billion to Help Inject More Artificial Intelligence into its Weaponry
(Source: The Center for Public Integrity; issued Sept 08, 2018)
The Defense Department’s cutting-edge research arm has promised to make the military’s largest investment to date in artificial intelligence (AI) systems for U.S. weaponry, committing to spend up to $2 billion over the next five years in what it depicted as a new effort to make such systems more trusted and accepted by military commanders.
The director of the Defense Advanced Research Projects Agency (DARPA) announced the spending spree on the final day of a conference in Washington celebrating its sixty-year history, including its storied role in birthing the internet.
The agency sees its primary role as pushing forward new technological solutions to military problems, and the Trump administration’s technical chieftains have strongly backed injecting artificial intelligence into more of America’s weaponry as a means of competing better with Russian and Chinese military forces.
The DARPA investment is small by Pentagon spending standards, where the cost of buying and maintaining new F-35 warplanes is expected to exceed a trillion dollars. But it is larger than AI programs have historically been funded and roughly what the United States spent on the Manhattan Project that produced nuclear weapons in the 1940’s, although that figure would be worth about $28 billion today due to inflation.
In July defense contractor Booz Allen Hamilton received an $885 million contract to work on undescribed artificial intelligence programs over the next five years. And Project Maven, the single largest military AI project, which is meant to improve computers’ ability to pick out objects in pictures for military use, is due to get $93 million in 2019.
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Turning more military analytical work – and potentially some key decision-making – over to computers and algorithms installed in weapons capable of acting violently against humans is controversial.
Google had been leading the Project Maven project for the department, but after an organized protest by Google employees who didn’t want to work on software that could help pick out targets for the military to kill, the company said in June it would discontinue its work after its current contract expires.
While Maven and other AI initiatives have helped Pentagon weapons systems become better at recognizing targets and doing things like flying drones more effectively, fielding computer-driven systems that take lethal action on their own hasn’t been approved to date.
A Pentagon strategy document released in August says advances in technology will soon make such weapons possible. “DoD does not currently have an autonomous weapon system that can search for, identify, track, select, and engage targets independent of a human operator’s input,” said the report, which was signed by top Pentagon acquisition and research officials Kevin Fahey and Mary Miller.
But “technologies underpinning unmanned systems would make it possible to develop and deploy autonomous systems that could independently select and attack targets with lethal force,” the report predicted.
The report noted that while AI systems are already technically capable of choosing targets and firing weapons, commanders have been hesitant about surrendering control to weapons platforms partly because of a lack of confidence in machine reasoning, especially on the battlefield where variables could emerge that a machine and its designers haven’t previously encountered.
Right now, for example, if a soldier asks an AI system like a target identification platform to explain its selection, it can only provide the confidence estimate for its decision, DARPA’s director Steven Walker told reporters after a speech announcing the new investment – an estimate often given in percentage terms, as in the fractional likelihood that an object the system has singled out is actually what the operator was looking for.
“What we’re trying to do with explainable AI is have the machine tell the human ‘here’s the answer, and here’s why I think this is the right answer’ and explain to the human being how it got to that answer,” Walker said.
DARPA officials have been opaque about exactly how its newly-financed research will result in computers being able to explain key decisions to humans on the battlefield, amidst all the clamor and urgency of a conflict, but the officials said that being able to do so is critical to AI’s future in the military.
Vaulting over that hurdle, by explaining AI reasoning to operators in real time, could be a major challenge. Human decision-making and rationality depend on a lot more than just following rules, which machines are good at. It takes years for humans to build a moral compass and common-sense thinking abilities, characteristics that technologists are still struggling to design into digital machines.
“We probably need some gigantic Manhattan Project to create an AI system that has the competence of a three-year old,” Ron Brachman, who spent three years managing DARPA’s AI programs ending in 2005, said earlier during the DARPA conference. “We’ve had expert systems in the past, we’ve had very robust robotic systems to a degree, we know how to recognize images in giant databases of photographs, but the aggregate, including what people have called commonsense from time to time, it’s still quite elusive in the field.”
Michael Horowitz, who worked on artificial intelligence issues for Pentagon as a fellow in the Office of the Secretary of Defense in 2013 and is now a professor at the University of Pennsylvania, explained in an interview that “there’s a lot of concern about AI safety – [about] algorithms that are unable to adapt to complex reality and thus malfunction in unpredictable ways. It’s one thing if what you’re talking about is a Google search, but it’s another thing if what you’re talking about is a weapons system.”
Horowitz added that if AI systems could prove they were using common sense, “it would make it more likely that senior leaders and end users would want to use them.”
An expansion of AI’s use by the military was endorsed by the Defense Science Board in 2016, which noted that machines can act more swiftly than humans in military conflicts. But with those quick decisions, it added, come doubts from those who have to rely on the machines on the battlefield.
“While commanders understand they could benefit from better, organized, more current, and more accurate information enabled by application of autonomy to warfighting, they also voice significant concerns,” the report said.
DARPA isn’t the only Pentagon unit sponsoring AI research. The Trump administration is now in the process of creating a new Joint Artificial Intelligence Center in that building to help coordinate all the AI-related programs across the Defense Department.
But DARPA’s planned investment stands out for its scope.
DARPA currently has about 25 programs focused on AI research, according to the agency, but plans to funnel some of the new money through its new Artificial Intelligence Exploration Program. That program, announced in July, will give grants up to $1 million each for research into how AI systems can be taught to understand context, allowing them to more effectively operate in complex environments.
Walker said that enabling AI systems to make decisions even when distractions are all around, and to then explain those decisions to their operators will be “critically important…in a warfighting scenario.”