Reproduce “Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakers” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Jose A. Guridi, Cristobal Cheyre, Qian Yang
Researchers from Cornell University examined the factors influencing the thoughtful adoption of NLP tools for civic participation in government, specifically analyzing the differing perspectives of politicians and public servants in Chile and Uruguay. The study revealed that politicians prioritize external legitimacy and power management, while public servants focus on internal efficiency and human-in-the-loop controls, which impacts NLP tool integration and risk mitigation strategies.
Key insights
- Politicians and public servants are driven by distinct motivations for NLP adoption, with politicians prioritizing external legitimacy and power management, and public servants focusing on internal efficiency and workload reduction.
- Stakeholders exhibit different levels of awareness regarding technical NLP risks and prefer distinct responsible AI mechanisms (external validation for politicians, internal control for public servants).
- A mutual 'blame game' over a lack of knowledge and outdated bureaucracy hinders the thoughtful adoption of NLP tools in government.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.