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Implications of Artificial Intelligence for Cybersecurity: A Workshop

This project is sponsored by the Office of the Director of National Intelligence.  It is being carried out on an entirely unclassified basis by the Academies’ Computer Science and Telecommunications Board (CSTB) in coordination with the Intelligence Community Studies Board (ICSB).
 

Statement of Task

A National Academies planning committee will organize a workshop to consider the implications of machine learning (ML) and other artificial intelligence (AI) technologies for cybersecurity. The workshop will convene experts from a wide range of technical disciplines in industry, academia, and government to include such topics as:


* The use of ML and other AI technologies to enhance early warning of cyber attacks, for cybersecurity intrusion detection and monitoring, analysis and integration, for software analysis, and for strategic and tactical planning of cyber operations;

* The impacts of ML and other AI technologies across the cyber kill-chain to include, but not limited to their use for social engineering, vulnerability discovery and exploit development, exploit targeting, malware adaptation, and anomaly detection; and
* Methods and tools that can be used to target and exploit vulnerable Al-enabled assets such as civilian and military autonomous systems and industrial or other commercial systems.


The project will be carried out on an entirely unclassified basis. A rapporteur-authored workshop proceedings will be published.


Steering Committee Members

Frederick Chang, Chair, Southern Methodist University
Kathleen Fisher, Tufts University
Eric Horvitz, Microsoft Research
Subbarao Kambhampati, Arizona State University
Wenke Lee, Georgia Institute of Technology
John L. Manferdelli, Northeastern University
Phil Venables, Goldman Sachs

 


FOR MORE INFORMATION

 
For more information, visit the National Academies Project/Activity Record, or contact Emily Grumbling, workshop director, at egrumbling@nas.edu.