Earlier this year, the White House issued an Executive Order on AI mandating that the National Institute of Standards and Technology develop a guide to federal engagement on AI technical standards. While the federal government’s actions have understandably garnered significant attention, state and local governments are also undertaking preliminary efforts to engage on the technical
On February 12, 2019 the Department of Defense released a summary and supplementary fact sheet of its artificial intelligence strategy (“AI Strategy”). The AI Strategy has been a couple of years in the making as the Trump administration has scrutinized the relative investments and advancements in artificial intelligence by the United States, its allies and partners, and potential strategic competitors such as China and Russia. The animating concern was articulated in the Trump administration’s National Defense Strategy (“NDS”): strategic competitors such as China and Russia has made investments in technological modernization, including artificial intelligence, and conventional military capability that is eroding U.S. military advantage and changing how we think about conventional deterrence. As the NDS states, “[t]he reemergence of long-term strategic competition, rapid dispersion of technologies” such as “advanced computing, “big data” analytics, artificial intelligence” and others will be necessary to “ensure we will be able to fight and win the wars of the future.”…
Continue Reading Defense Department Releases Artificial Intelligence Strategy
In a memorandum issued June 27, 2018, Deputy Secretary of Defense Patrick Shanahan ordered the establishment of the Joint Artificial Intelligence Center (“JAIC”) within DoD. The JAIC will report to DoD Chief Information Officer (“CIO”) Dana Deasey and has the “overarching goal of accelerating the delivery of AI-enabled capabilities, scaling the Department-wide impact of AI, and synchronizing DoD AI activities to expand Joint Force advantages.” With the creation of the JAIC, the DoD has acknowledged that the AI “effort is a Department priority,” and one to which government contractors should pay attention.
The JAIC will be the primary organizational component responsible for coordinating and executing DoD’s 2018 Artificial Intelligence Strategy, which was delivered to Congress in June. Although an unclassified version of the report is not out yet, the memorandum elaborates upon what is in the report by stating that “A new approach is required to increase the speed and agility with which we deliver AI-enabled capabilities and adapt our way of fighting.”
Timothy M. Persons, GAO Chief Scientist Applied Research and Methods, recently provided testimony on artificial intelligence (“AI”) before the House of Representatives’ Subcommittees on Research and Technology and Energy, Committee on Science, Space, and Technology. Specifically, his testimony summarized a prior GAO technological assessment on AI from March 2018. Persons’ statement addressed three areas: (1) AI has evolved over time; (2) the opportunities and future promise of AI, as well as its principal challenges and risks; and (3) the policy implications and research priorities resulting from advances in AI. This statement by a GAO official is instructive for how the government is thinking about the future of AI, and how government contractors can, too.
The Evolution and Characteristics of AI
Persons stated that AI can be defined as either “narrow,” meaning “applications that provide domain-specific expertise or task completion,” or “general,” meaning an “application that exhibits intelligence comparable to a human, or beyond.” Although AI has evolved since the 1950s, Persons cited today’s “increased data availability, storage, and processing power” as explanations for why AI occupies such a central role in today’s discourse. And while we see many instances of narrow AI, general AI is still in its formative stages.
Continue Reading Covington Artificial Intelligence Update: GAO Testimony Before Congress Regarding Emerging Opportunities, Challenges, and Implications for Policy and Research with Artificial Intelligence