Innate hesitancies toward AI and work: flat-binomial composites to separate unsureness from feelings

Thomas M. Menino Convention & Exhibition Center 

As AI matures, the impact it might have on how society functions is being actively pondered on. In this article, through uniform-binomial mixtures, we shed quantitative light on this matter, showing topics that unite and divide the population at an unobserved, latent level. Simultaneously, we analyze Likert scale answers we collected in collaboration with Gallup, surveying 5835 US residents on how they sense guidelines on remote work or a four-day work week or spending time on work outside of scheduled hours could impact their lives. We find the tradeoff between uncertainty and feeling switches across topics. For some, such as a four-day week or returning to in-person work, uncertainty and feeling covary, while for others, such as spending time outside of work, they anitivary.Available are GitHub codes and interactive Shiny dashboards. Follow-up of two recent works: Bhaduri, M. (2025) Altered tradeoffs between uncertainty and feeling in inherent indecisions: uniform-binomial mixture densities to gauge the impact of shifts in work operations on employees. Societal Impacts.
Bhaduri, M. (2025) Are individuals who are positive about artificial intelligence also more unsure? Patterns.

sample surveys

Likert scale

uniform-binomial mixtures

clustering

sheltering effect

demographic diversity and persistence 

Survey Research Methods Section