Machine Learning Featurizations for AI Hacking of Political Systems
Investigates graph and sequence data representations for applying deep learning to predict outcomes in political and legislative systems, advancing the concept of AI hacking. [11, 17, 41]
This paper was originally published in arXiv e-prints in 2021.
A PDF of the paper is available here.
Full Citation (AAS Style): Sanders, N. E., & Schneier, B. 2021, arXiv e-prints, arXiv:2110.09231, doi:10.48550/arXiv.2110.09231
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