2019/12/05 by Maryam Ashoori, Ashoori, Maryam, Justin D. Weisz +1 · 2 citations
Computer Science · Psychology · Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Automation Interaction and Safety
paper · pdf · doi:10.48550/arxiv.1912.02675
openalex publication_date 2019/12/05 · openalex created_date 2019/12/13 · openalex updated_date 2026/07/28
Many decision-making processes have begun to incorporate an AI element, including prison sentence recommendations, college admissions, hiring, and mortgage approval. In all of these cases, AI models are being trained to help human decision makers reach accurate and fair judgments, but little is known about what factors influence the extent to which people consider an AI-infused decision-making process to be trustworthy. We aim to understand how different factors about a decision-making process, and an AI model that supports that process, influences peoples' perceptions of the trustworthiness of that process. We report on our evaluation of how seven different factors -- decision stakes, decision authority, model trainer, model interpretability, social transparency, and model confidence -- influence ratings of trust in a scenario-based study.