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Support for AI Development: Automated Daily Measurement with Open Data and Code

Authors: Jones, Jason;

Support for AI Development: Automated Daily Measurement with Open Data and Code

Abstract

This manuscript presents and advocates for a new form of scientific communication: free and open nowcasting of public opinion via web dashboard. I present an open-source automated system that gathers new human responses to survey items daily, anonymizes and publicly distributes microdata, and presents analyses through a publicly viewable Web dashboard. A demonstration implementation tracked support for further development of artificial intelligence among American adults. As of 2026-05-31, the system had autonomously produced 766 daily estimates of support from ($N~=~8551$) respondents. The findings underscore the need for continuous, high-frequency surveys to accurately track shifts in public opinion on transformative technologies like AI. I argue that more scientists should adopt the method of open nowcasting, because it encourages transparency in research design and eases replication. Preprint in progress. Working toward a June 15, 2026 deadline.

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