Document Type
Poster
Publication Date
Fall 2024
Abstract
The rise of AI’s influence in American life has concerned both the public and the United States Congress. Focusing on the 118th Congress, I identified 365 proposed AI-related bills, only four of which (1.09%) were ultimately passed. Using a combination of natural language processing, topic modeling, and data analysis tools, I investigated why, despite broad bipartisan public and Congressional support, Congress did not pass more AI-related legislation. Amidst shrinking party majority margins and rising polarization among the electorate and elites, the success of AI-related legislative action relies less on popularity and more on party affiliation and control.
Recommended Citation
Hendryx, Fiona and Elkins, Katherine, "Can AI Bridge the Aisle? Decoding the 118th Congress Through Artificial Intelligence Legislation" (2024). IPHS 200: Programming Humanity. Paper 67.
https://digital.kenyon.edu/dh_iphs_prog/67
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.