The Cognitive Foundations of Algorithmic Trust: Human Reasoning in High-Stakes AI Systems
We are pleased to announce the successful publication of this manuscript as a pre-print on PsyArXiv. This is a significant milestone, as PsyArXiv is the premier psychology repository and operates with a rigorous pre-moderation process carried out by experts in the field. This process confirms the work’s quality, ethical compliance, and scholarly contribution prior to public posting.
This work, completed entirely as an independent scholarly endeavor, has met the high standards required for inclusion on this platform alongside submissions from major global institutions.
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This is the accompanying poster presentation summarizing the core methodology and findings of the "Cognitive Foundations of Algorithmic Trust" manuscript, which was presented at a recent academic conference.
The poster offers a concise, visual overview of the experimental design, key statistical results, and major theoretical implications of the work.
\texttt{Reference: Watts, S. (2025). The Cognitive Foundations of Algorithmic Trust. \textit{PsyArXiv}. 10.31234/osf.io/jw36n\_v1}