If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Military doctrine identifies five domains of warfare--land, sea, air, space and information. While borders and barriers define the four natural domains, the fifth dimension, with the advancements of artificial intelligence, is rapidly expanding with the potential to destabilize free and open international order. Nations like China and Russia are making significant investments in AI for military purposes, potentially threatening world norms and human rights. This year the Defense Department, in support of the National Defense Strategy, launched its Artificial Intelligence Strategy in concert with the White House executive order creating the American Artificial Intelligence Strategy. The DoD AI strategy states the U.S., together with its allies and partners, must adopt AI to maintain its strategic position, prevail on future battlefields and safeguard order.
Maintaining a competitive edge over global competition in artificial intelligence (AI) has risen swiftly over the past several years as a bipartisan national security priority. That high-level strategic guidance is now transitioning to implementation. Two important steps were taken recently. These documents made clear that delivering results for the nation on AI is the responsibility of individual federal departments and agencies doing their part. These documents also rightly advance what my CSIS colleagues and I presented in a previous report on AI and National Security termed an "AI ecosystem."
The growing use of artificial intelligence comes with more than just technology challenges. Ethical questions are emerging as government agencies use AI for a range of purposes, from customer service chatbots to mission-critical tasks supporting military forces. This increasing reliance on AI introduces concerns about bias in its foundation, especially related to information on gender, race, socioeconomic status and age. Potential for bias can be built into AI algorithms by the humans who create them. This can happen intentionally or by accident resulting from biases developers don't realize they have.
U.S. Senators Rob Portman (R-OH), Martin Heinrich (D-NM), and Brian Schatz (D-HI) today proposed the Artificial Intelligence Initiative Act, legislation to pump $2.2 billion into federal research and development and create a national AI strategy. The $2.2 billion would be doled out over the course of the next 5 years to federal agencies like the Department of Energy, Department of Commerce's National Institute of Standards and Technology (NIST), and others. The legislation would establish a National AI Coordination Office to lead federal AI efforts, require the National Science Foundation (NSF) to study the effects of AI on society and education, and allocate $40 million a year to NIST to create AI evaluation standards. The bill would also include $20 million a year from 2020-2024 to fund the creation of 5 multidisciplinary AI research centers, with one focused solely on K-12 education. Plans to open national AI centers in the bill closely resembles plans from the 20-year AI research program proposed by the Computing Consortium.
The US government is warning businesses about the risks of using Chinese-made aerial drones on claims they may pose a spying threat. On Monday, the Department of Homeland Security issued an industry alert over the alleged spying dangers, according to CNN. The alert doesn't name a specific company, but one of the biggest drone manufacturers in the world is DJI, which is based in Shenzhen, China. The department is worried the drone technologies can collect information and secretly send it back to their manufacturers in China. If this occurs, the Chinese government has the power to compel the manufacturer to hand over all the acquired data.
In response to the 11 February 2019 US "Executive Order on Maintaining American Leadership in Artificial Intelligence," NIST is requesting information about technical standards and related tools for artificial intelligence during an open comment period ending 31 May. More information can be found on the Federal Register. In this article, SPIE/OSA Congressional Fellow Benjamin Isaacoff lays out the goals and gaps of the current US strategy for AI. In February, US President Trump issued an executive order laying out the "American AI Initiative" (AAII). This executive order appears to be an aspirational start to a full-fledged US AI National Strategy.
In a March 21 Slatest, Mark Joseph Stern misstated that the April 2019 Wisconsin Supreme Court election could give Democratic justices a majority. That opportunity will not arise until the 2020 election. Due to an editing error, a March 20 Future Tense Newsletter incorrectly stated that the National Institute of Standards and Technology has been using nonconsensually obtained images to train its Facial Recognition Verification Testing program. The NIST does not develop or train facial recognition systems. It provides independent government evaluations of prototype face recognition technologies.
Artificial intelligence (AI), following on the heels of its older sibling RPA (robotic process automation), is no longer waiting to be born, but remains more of a toddler on the Federal IT scene–still learning to walk before trying to run, but bulking up from an appetite for serious Federal government tech interest and investment. Factors that stand in the way of rapid growth in use of the technology may be fairly said to include inertia, budget, lack of understanding, scarcity of obvious projects, insufficient compute power (legacy data centers), and a dearth of large data sets necessary to leverage the technology. But a host of Federal IT policy aims and nascent efforts at agencies are providing plenty of push for the AI Age to kick into higher gear, and point to what may become before too long the largest factor in shying away from AI: a lack of imagination. From the military, to the intelligence community, to civilian agencies, the growth in stated demand for AI projects is impossible to ignore. Intelligence agency officials ticked off a partial list of AI projects and priorities they'd like to pursue, and identified important long-term benefits from getting into the game including drastically reducing the amount of time analysts spend on lower-level monitoring work, and creating a workforce culture that is more comfortable with taking chances on new technology.
Ever since the US fell behind China in the AI arms race the country has been criticized for not being innovative enough and not focusing on the things that matter. As we outline in this previous post, there are a multitude of reasons why China pulled ahead of the rest of the world. Despite the fact that this is clearly a multi faceted issue the US has neglected to focus on the development of new technologies which includes AI. The DoD has seemingly decided to try and address this. Other than the president's recent executive order which lacked any kind of concrete plan or details describing an AI development strategy the US has not released anything that touches this topic.
Artificial Intelligence (AI) specialists across the industry, the academic world and government have since quite a while ago approached the Trump organization to make the improvement of artificial intelligence a noteworthy priority. President Trump signed an executive order recently intended to encourage the improvement and management of artificial intelligence, an innovation that numerous specialists believe will characterize the fate of everything from consumer products to healthcare to military operation. China discharged a plan for AI two years back and it was accounted for that several billions of dollars have been diverted into the advancement of the technology, while the U.S. has been deficient in the national policy region. The historical backdrop of computing and artificial intelligence has consistently been inherently linked to government spending and technique, individuals regularly refer to state funding that made the Internet, however more consideration ought to be given to the way that the principal computers, most supercomputers, inside parts, for example, RAM, and much more, were all initially based on the government's dime. Along these lines, endless artificial intelligence advancements can be followed back to government support, Apple's Siri, for instance, was an outgrowth from the Defense Advanced Research Projects Agency's CALO venture.