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

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.