As states shift their voting processes and procedures due to the COVID-19 pandemic, another element of the process for states has been subject to change—Federal funding, an inconsistency that has caused local election officials to adapt on the fly.
The U.S. 2020 general election is drawing ever closer, but complications posed by the ongoing COVID-19 pandemic are adding an enduring set of worries for conducting a smooth election process. Public health experts and election officials alike remain largely stumped on the best ways to conduct the general election amid the pandemic.
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.
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.