These findings separate interface effects from relationships among users' perceptions and show why ability, integrity, and benevolence should be evaluated separately.
Abstract
Visible AI capabilities need not translate into broader judgments of trustworthiness. In a randomized 2 x 2 experiment with 270 U.S.-based Reddit users, an embedded assistant displayed one or three functions, with or without a brief rationale. Displaying three functions increased perceived multifunctionality; no other randomized main effect survived correction across the six outcomes. Rationale availability did not reliably increase perceived intelligence. Exploratory analysis indicated stronger uptake of the functional display at higher objective AI literacy. Among concurrently measured judgments, perceived multifunctionality was associated with perceived intelligence, which was associated with anthropomorphism and all three trust dimensions. After accounting for perceived intelligence, anthropomorphism was positively associated with benevolence, but not reliably with integrity or ability. These findings separate interface effects from relationships among users'perceptions and show why ability, integrity, and benevolence should be evaluated separately.
Assigned cue packages yielded distinct within-study patterns of social evaluation and intention, but did not establish a general benefit of anthropomorphism, a causal threat process, or changes in collaborative behavior.
Artificial Intelligence (AI) is increasingly evaluated as both a functional technology and a socially responsive interaction partner. This study examines how academic staff form trust in educational AI and how that trust contributes to perceived value. Its central contribution is to position perceived anthropomorphism...
Mohammed Al-Mamari, Abdullah Al-Abri· Education sciences· 0 citations
AI advisors support judgement, yet users rely on credibility cues when evaluating AI-generated advice. Using fNIRS and behavioural measures, we examined associations of source-authority cues with perceived AI capability, judgement updating, and prefrontal processing. Seventy adults evaluated food-safety rumours before...
Yi Ding, Zi-Yan Deng, Wengang Zhang et al.· Ergonomics· 0 citations
As generative AI systems become more socially responsive, personalized, and perspective-aware, a central question is whether such features improve human–AI decision quality or simply make AI advice more influential. This study introduces the Social Intelligence Reliance Halo as a proposed social-to-epistemic spillover...
Filiz Mızrak, Ayca Can Ozer Kirgiz, H. Demirel· Journal of Intelligence· 0 citations
A pilot study was conducted to investigate whether trust and reliability in an object detection system could be predicted by factors related to system transparency, user performance, and familiarity with AI technology. We examined the impact of perceived transparency—measured by the total number of clicks to access mor...
Virginia Sullivan, Kristin Weger, Vineetha Menon et al.· IISE Annual Conference &...· 0 citations
As generative artificial intelligence (AI) becomes embedded in higher education, a troubling pattern has surfaced. Some students increasingly delegate thinking, judgment, and task completion to AI, and such reliance can quietly erode the very capacities-independent reasoning, learner autonomy, and critical engagement-t...
Yun-Fei Du, Yu-Hui Zeng, Chao-Yu Guo et al.· Acta Psychologica· 0 citations
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduSep 30, 2026
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
