ArticleFrontiers in artificial intelligence2026
Artificial intelligence agents as advanced decision support systems in public decision-making: evidence from Peru.
Article in Frontiers in artificial intelligence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Decision making in the public sector faces persistent challenges that have driven the analysis of technologies aimed at strengthening institutional performance. Within this context, the present study examined the association between the valuation of artificial intelligence agents (AIA) and decision making among public officials with national-level responsibilities in Peru. In this study, AIA are conceptualized as advanced decision support systems (DSS) that complement human judgment in complex public-sector decisions. A Likert-scale survey was administered to 93 participants and showed high internal consistency (Cronbach's alpha = 0.952). Given the non-parametric nature of the data, associations were estimated using Kendall's Tau-b and Spearman's Rho. The results revealed a positive and statistically significant association between the valuation of AIA and overall decision-making (Tau-b = 0.588; Rho = 0.653;
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.