Skip to main content
OpenConf small logo

Providing all your submission and review needs
Abstract and paper submission, peer-review, discussion, shepherding, program, proceedings, and much more

Worldwide & Multilingual
OpenConf has powered thousands of events and journals in over 100 countries and more than a dozen languages.

Visit OpenConf.com

Human-AI Augmentation: Is Human Oversight a Help or Hindrance in AI Management?

Abstract: This project explores the impact of human-AI collaboration on perceived trustworthiness in feedback contexts, focusing on how human-in-the-loop systems affect perceptions of warmth and competence. While AI promises more efficient feedback, it raises concerns about potential trust erosion if perceived as replacing human warmth. Across three studies (N = 1401), we compare perceived competence, warmth, and trust attributed to AI-only, human-only, and combined human-AI feedback providers. Interestingly, we consistently found that human-in-the-loop systems, despite potential competence benefits, are perceived as less warm and trustworthy than human feedback alone.

Keywords: Trust, Human-AI Collaboration, Feedback

Mingyu Li,  The Hong Kong University of Science and Technology, | mlidt@connect.ust.hk

T. Bradford Bitterly,  The Hong Kong University of Science and Technology, | bbitterly@ust.hk

David Hagmann,  The Hong Kong University of Science and Technology, | hagmann@ust.hk