Reported trust varies with graded value alignment in AI-attributed economic-environmental choices
Lidan Cui; Lingyun Sun; Guibing He · 2026 · Scientific Reports (in press) evidence low priority coded
Main argument
Thesis (empirical): reported human trust in AI systems varies with the graded degree of value alignment exhibited in AI-attributed choices over economic-vs-environmental trade-offs - trust is sensitive to HOW aligned the system's revealed value weighting is with the human's, not merely whether it is aligned.
Why it matters here
Experimental psychology datapoint: human trust in AI tracks the DEGREE of value alignment (graded, not binary) in economic-environmental trade-off choices. Supports treating alignment as graded (Baum's sufficiency ladder) with trust as the behavioral readout.
Reading notes
Compact treatment (Zhejiang). Abstract-level read (article in press).
Cui, L., Sun, L., & He, G. (2026). Reported trust varies with graded value alignment in AI-attributed economic-environmental choices. Scientific Reports.