[Air-L] Springer Special Issue: Trust in AI vs Human Experts: Cognitive, Social, and Emotional Perspectives
Diletta Huyskes
diletta.huyskes at unimi.it
Thu Jan 29 04:10:10 PST 2026
Dear all,<https://link.springer.com/collections/iigdgbbdbg?utm_source=rh&utm_medium=rh_collection_recs>
I'm writing because I would be very interested if there's anyone here working on topics related to this special issue of Discover Psychology<https://link.springer.com/journal/44202>: https://link.springer.com/collections/iigdgbbdbg?utm_source=rh&utm_medium=rh_collection_recs.
As a sociologist, this is a topic that interests me greatly and I've measured it in my empirical research, but for months I have been looking for colleagues in psychology or cognitive science who work on automation bias to collaborate with. Perhaps you know someone, or are even already working on a submission for this journal?
Attached also the description:
As AI systems become increasingly embedded in high-stakes decision-making, from medical diagnoses to financial advice, understanding how people trust AI relative to human experts is crucial. Psychological research reveals mixed patterns. On one hand, many individuals exhibit algorithm aversion, showing reluctance to rely on algorithmic decisions and preferring human judgment even when an algorithm consistently outperforms human experts. People tend to lose confidence in an AI system quickly after it makes a mistake, becoming less likely to choose it over an arguably inferior human advisor. On the other hand, under certain conditions, studies document algorithm appreciation, where people sometimes put more weight on advice if they believe it came from an AI rather than from a person. For instance, lay participants adhered more strongly to advice labeled as coming from an algorithm in tasks requiring objective analysis. In more subjective or personal domains (such as healthcare or hiring decisions), however, trust often shifts back toward human experts, people fear an AI might overlook personal nuances, and they value the empathy and individualized understanding of a human advisor. These contrasts suggest that trust in AI vs. humans is highly context-dependent, with cognitive and emotional factors moderating people’s openness to algorithmic guidance.
This collection of Discover Psychology, titled “Trust in Artificial Intelligence vs Human Experts: Cognitive, Social, and Emotional Perspectives,” invites submissions that delve into the psychological mechanisms and boundary conditions of trust in AI-based versus human expert decision-making.
Thanks!
Diletta
***
Dr. Diletta Huyskes
Ph.D. in Sociology and Methodology of Social Research
Postdoctoral Researcher
Research Center for the Philosophy of Technology (PhilTech), University of Milan
Affiliated Researcher
Data School, Utrecht University
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