In an estimate released March 31, the Congressional Budget Office (CBO) said that over the next five years the Cybersecurity State Coordinator Act would cost $37 million to enact.
With COVID-19 dominating the national conversation, there has been growing discussion about how to reduce crowds and lines at polling places during the 2020 election cycle. One possibility is to enable voting via smartphones. However, cybersecurity experts remain incredibly cautious given security concerns.
In a report released Feb. 25, the Government Accountability Office (GAO) said that “most” of nine agencies tasked with protecting the 16 critical infrastructure sectors “have not developed methods to determine the level and type of adoption of the National Institute of Standards and Technology’s (NIST) Framework for Improving Critical Infrastructure Cybersecurity.”
A group of graduate researchers from the University of California-Berkeley trained a machine learning model to predict voter preferences using only readily available personal information, suggesting further-reaching implications on the use of AI to infer voter behavior and potentially influence elections.