ReviewFrontiers in psychology2024
Developing trustworthy artificial intelligence: insights from research on interpersonal, human-automation, and human-AI trust.
Review in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Trust in Artificial Intelligence-Based Clinical Decision Support Systems Among Health Care Workers: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Effects of a Safety User Interface Bundle on Verification Intentions in Generative AI Chat Use Among Older Chinese Adults: Randomized Vignette Survey.Journal of medical Internet research · 2026Trial
- Constructs Influencing Patient Perceptions of Use of AI in Medical Imaging Analysis: Systematic Review.Interactive journal of medical research · 2026Review
- Multidimensional evaluation of large language models on the AAP in-service examination: Assessing accuracy, calibration, and citation reliability.PLOS digital health · 2026Article
- From Sensing to Sense-Making: A Framework for On-Person Intelligence with Wearable Biosensors and Edge LLMs.Sensors (Basel, Switzerland) · 2026Article
- Low perceived warmth of AI agents reduces trust towards them.Scientific reports · 2026Article
- Behavioral Dynamics of AI Trust and Health Care Delays Among Adults: Integrated Cross-Sectional Survey and Agent-Based Modeling Study.Journal of medical Internet research · 2026Article
- Influence of solution efficiency and valence of instruction on additive and subtractive solution strategies in humans, GPT-4, and GPT-4o.Communications psychology · 2026Article
- Public trust in AI-enabled telemedicine: affective, cognitive, and structural dimensions insights from multi-platform big data analytics.Frontiers in medical technology · 2026Article
- From human-like AI to user adoption: the role of trust, attitude, and social influence in shaping behavioral intention.Frontiers in artificial intelligence · 2026Article
- Clinical nursing interns' perceptions of artificial intelligence-assisted tools in human-AI collaboration: a qualitative persona-based study.Frontiers in public health · 2026Article
- Unpacking the dual-path trust mechanism driving students' continuance intention toward campus GenAI: a hybrid SEM-machine learning approach within the S-O-R framework.Frontiers in psychology · 2026Article
- Use of artificial intelligence in building personal branding and intercultural leadership.Frontiers in artificial intelligence · 2026Article
- Privacy assurances and professional-boundary warnings in generative AI mental health chatbots: a randomized vignette experiment on calibrated trust, overreliance risk, and professional help-seeking intentions.Frontiers in psychology · 2026Article
- From Black Box to Transparency: The Impact of Multi-Level Visualization on User Trust in Autonomous Driving.Sensors (Basel, Switzerland) · 2025Article
- Trust in AI-assisted health systems and AI's trust in humans.npj health systems · 2025Review
- When misunderstanding meets artificial intelligence: the critical role of trust in human-AI and human-human team communication and performance.Frontiers in psychology · 2025Article
- Investigating the role of AI explanations in lay individuals' comprehension of radiology reports: A metacognition lens.PloS one · 2025Article
- Design and validation of the scale for the adoption of artificial intelligence in the online shopping experience of Peruvian consumers.Frontiers in artificial intelligence · 2025Article
- Editorial: Towards Emotion AI to next generation healthcare and education.Frontiers in psychology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The rapid advancement of artificial intelligence (AI) has impacted society in many aspects. Alongside this progress, concerns such as privacy violation, discriminatory bias, and safety risks have also surfaced, highlighting the need for the development of ethical, responsible, and socially beneficial AI. In response, the concept of trustworthy AI has gained prominence, and several guidelines for developing trustworthy AI have been proposed. Against this background, we demonstrate the significance of psychological research in identifying factors that contribute to the formation of trust in AI. Specifically, we review research findings on interpersonal, human-automation, and human-AI trust from the perspective of a three-dimension framework (i.e., the trustor, the trustee, and their interactive context). The framework synthesizes common factors related to trust formation and maintenance across different trust types. These factors point out the foundational requirements for building trustworthy AI and provide pivotal guidance for its development that also involves communication, education, and training for users. We conclude by discussing how the insights in trust research can help enhance AI's trustworthiness and foster its adoption and application.
Indexed as
Identifiers
What Socratic 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 Socratic graph.