Implications of Artificial Intelligence for Cybersecurity
Proceedings of a Workshop
National Academies of Sciences, Engineering, and MedicineDivision on Engineering and Physical SciencesIntelligence Community Studies BoardComputer Science and Telecommunications Board
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In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.
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- Editorial
- National Academies Press
- Fecha de publicación
- 2020-01-27
- Páginas
- 99
- Idioma
- EN
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Continuing Innovation in Information Technology
National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Continuing Innovation in Information Technology
Telecommunications Research and Engineering at the Institute for Telecommunication Sciences of the Department of Commerce
National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Telecommunications Research and Engineering at the Department of Commerce's Boulder Laboratories
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