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World News See other World News Articles Title: Techno-Tyranny: How The US National Security State Is Using Coronavirus To Fulfill An Orwellian Vision Last year, a government commission called for the US to adopt an AI-driven mass surveillance system far beyond that used in any other country in order to ensure American hegemony in artificial intelligence. Now, many of the obstacles they had cited as preventing its implementation are rapidly being removed under the guise of combating the coronavirus crisis. Last year, a U.S. government body dedicated to examining how artificial intelligence can address the national security and defense needs of the United States discussed in detail the structural changes that the American economy and society must undergo in order to ensure a technological advantage over China, according to a recent document acquired through a FOIA request. This document suggests that the U.S. follow Chinas lead and even surpass them in many aspects related to AI-driven technologies, particularly their use of mass surveillance. This perspective clearly clashes with the public rhetoric of prominent U.S. government officials and politicians on China, who have labeled the Chinese governments technology investments and export of its surveillance systems and other technologies as a major threat to Americans way of life. In addition, many of the steps for the implementation of such a program in the U.S., as laid out in this newly available document, are currently being promoted and implemented as part of the governments response to the current coronavirus (Covid-19) crisis. This likely due to the fact that many members of this same body have considerable overlap with the taskforces and advisors currently guiding the governments plans to re-open the economy and efforts to use technology to respond to the current crisis. The FOIA document, obtained by the Electronic Privacy Information Center (EPIC), was produced by a little-known U.S. government organization called the National Security Commission on Artificial Intelligence (NSCAI). It was created by the 2018 National Defense Authorization Act (NDAA) and its official purpose is to consider the methods and means necessary to advance the development of artificial intelligence (AI), machine learning, and associated technologies to comprehensively address the national security and defense needs of the United States. The NSCAI is a key part of the governments response to what is often referred to as the coming fourth industrial revolution, which has been described as a revolution characterized by discontinuous technological development in areas like artificial intelligence (AI), big data, fifth-generation telecommunications networking (5G), nanotechnology and biotechnology, robotics, the Internet of Things (IoT), and quantum computing. However, their main focus is ensuring that the United States
maintain a technological advantage in artificial intelligence, machine learning, and other associated technologies related to national security and defense. The vice-chair of NSCAI, Robert Work former Deputy Secretary of Defense and senior fellow at the hawkish Center for a New American Security (CNAS), described the commissions purpose as determining how the U.S. national security apparatus should approach artificial intelligence, including a focus on how the government can work with industry to compete with Chinas civil-military fusion concept. The recently released NSCAI document is a May 2019 presentation entitled Chinese Tech Landscape Overview. Throughout the presentation, the NSCAI promotes the overhaul of the U.S. economy and way of life as necessary for allowing the U.S. to ensure it holds a considerable technological advantage over China, as losing this advantage is currently deemed a major national security issue by the U.S. national security apparatus. This concern about maintaining a technological advantage can be seen in several other U.S. military documents and think tank reports, several of which have warned that the U.S. technological advantage is quickly eroding. The U.S. government and establishment media outlets often blame alleged Chinese espionage or the Chinese governments more explicit partnerships with private technology companies in support of their claim that the U.S. is losing this advantage over China. For instance, Chris Darby, the current CEO of the CIAs In-Q-Tel, who is also on the NSCAI, told CBS News last year that China is the U.S. main competitor in terms of technology and that U.S. privacy laws were hampering the U.S. capacity to counter China in this regard, stating that: [D]ata is the new oil. And China is just awash with data. And they dont have the same restraints that we do around collecting it and using it, because of the privacy difference between our countries. This notion that they have the largest labeled data set in the world is going to be a huge strength for them. In another example, Michael Dempsey former acting Director of National Intelligence and currently a government-funded fellow at the Council on Foreign Relations argued in The Hill that: Its quite clear, though, that China is determined to erase our technological advantage, and is committing hundreds of billions of dollars to this effort. In particular, China is determined to be a world leader in such areas as artificial intelligence, high performance computing, and synthetic biology. These are the industries that will shape life on the planet and the military balance of power for the next several decades. In fact, the national security apparatus of the United States is so concerned about losing a technological edge over China that the Pentagon recently decided to join forces directly with the U.S. intelligence community in order to get in front of Chinese advances in artificial intelligence. This union resulted in the creation of the Joint Artificial Intelligence Center (JAIC), which ties together the militarys efforts with those of the Intelligence Community, allowing them to combine efforts in a breakneck push to move governments AI initiatives forward. It also coordinates with other government agencies, industry, academics, and U.S. allies. Robert Work, who subsequently became the NSCAI vice-chair, said at the time that JAICs creation was a welcome first step in response to Chinese, and to a lesser extent, Russian, plans to dominate these technologies. Similar concerns about losing technological advantage to China have also been voiced by the NSCAI chairman, Eric Schmidt, the former head of Alphabet Googles parent company, who argued in February in the New York Times that Silicon Valley could soon lose the technology wars to China if the U.S. government doesnt take action. Thus, the three main groups represented within the NSCAI the intelligence community, the Pentagon and Silicon Valley all view Chinas advancements in AI as a major national security threat (and in Silicon Valleys case, threat to their bottom lines and market shares) that must be tackled quickly. Targeting Chinas adoption advantage In the May 2019 Chinese Tech Landscape Overview presentation, the NSCAI discusses that, while the U.S. still leads in the creation stage of AI and related technologies, it lags behind China in the adoption stage due to structural factors. It says that creation, followed by adoption and iteration are the three phases of the life cycle of new tech and asserts that failing to dominate in the adoption stage will allow China to leapfrog the U.S. and dominate AI for the foreseeable future. The presentation also argues that, in order to leapfrog competitors in emerging markets, what is needed is not individual brilliance but instead specific structural conditions that exist within certain markets. It cites several case studies where China is considered to be leapfrogging the U.S. due to major differences in these structural factors. Thus, the insinuation of the document (though not directly stated) is that the U.S. must alter the structural factors that are currently responsible for its lagging behind China in the adoption phase of AI-driven technologies. Chief among the troublesome structural factors highlighted in this presentation are so-called legacy systems that are common in the U.S. but much less so in China. The NSCAI document states that examples of legacy systems include a financial system that still utilizes cash and card payments, individual car ownership and even receiving medical attention from a human doctor. It states that, while these legacy systems in the US are good enough, too many good enough systems hinder the adoption of new things, specifically AI-driven systems. Another structural factor deemed by the NSCAI to be an obstacle to the U.S. ability to maintain a technological advantage over China is the scale of the consumer market, arguing that extreme urban density = on-demand service adoption. In other words, extreme urbanization results in more people using online or mobile-based on-demand services, ranging from ride-sharing to online shopping. It also cites the use of mass surveillance on Chinas huge population base is an example of how Chinas scale of consumer market advantage allowing China to leap ahead in the fields of related technologies, like facial recognition. In addition to the alleged shortcomings of the U.S. legacy systems and lack of extreme urban density, the NSCAI also calls for more explicit government support and involvement as a means to speed up the adoption of these systems in the U.S. This includes the government lending its stores of data on civilians to train AI, specifically citing facial recognition databases, and mandating that cities be re-architected around AVs [autonomous vehicles], among others. Other examples given include the government investing large amounts of money in AI start-ups and adding tech behemoths to a national, public-private AI taskforce focused on smart city-implementation (among other things). With regards to the latter, the document says this level of public-private cooperation in China is outwardly embraced by the parties involved, with this serving as a stark contrast to the controversy around Silicon Valley selling to the U.S. government. Examples of such controversy, from the NSCAIs perspective, likely include Google employees petitioning to end the Google-Pentagon Project Maven, which uses Googles AI software to analyze footage captured by drones. Google eventually chose not to renew its Maven contract as a result of the controversy, even though top Google executives viewed the project as a golden opportunity to collaborate more closely with the military and intelligence communities. The document also defines another aspect of government support as the clearing of regulatory barriers. This term is used in the document specifically with respect to U.S. privacy laws, despite the fact that the U.S. national security state has long violated these laws with near complete impunity. However, the document seems to suggest that privacy laws in the U.S. should be altered so that what the U.S. government has done in secret with private citizen data can be done more openly and more extensively. The NSCAI document also discusses the removal of regulatory barriers in order to speed up the adoption of self-driving cars, even though autonomous driving technology has resulted in several deadly and horrific car accidents and presents other safety concerns. Post Comment Private Reply Ignore Thread
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