Information Disorder Machines

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dc.contributor.authorJohnson, Brian David
dc.date.accessioned2023-09-01T19:10:42Z
dc.date.available2023-09-01T19:10:42Z
dc.date.issued2017
dc.description.abstractIn the coming decade, advances in technologies like artificial intelligence (AI), machine learning (ML), quantum computing, the internet of things (IoT), smart cities, and autonomous vehicles in land, sea and air will enable adversaries of the United States to mechanize information disorder to influence, manipulate, and harm organizations and individuals. These coming information disorder machines (IDMs) will be targeted broadly at groups and geographies. AI and ML will allow for increased if not complete automation, allowing IDMs to adapt in real-time down to the individual level, creating personalized attacks while operating at a mass scale. The emerging threat of IDMs lie in the unique pairing of their real-time microtargeting and the macro effects that can have at scale. This is a direct threat to national and global security as well as a threat to the future of the United States of America.
dc.description.sponsorshipArmy Cyber Institute
dc.identifier.citationJohnson, Brain David, "Information Disorder Machines" (2017).
dc.identifier.otherNA
dc.identifier.urihttps://hdl.handle.net/20.500.14216/519
dc.publisherArizona State University
dc.subjectArtificial Intelligence
dc.subjectMachine Learning
dc.subjectQuantum Computing
dc.subjectThreatcasting
dc.titleInformation Disorder Machines
dc.typeScholarly papers
local.peerReviewedYes

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