Disentangling Trust and Anthropomorphism Toward the Design of Human-Centered AI Systems

Jensen, Theodore

doi:10.1007/978-3-030-77772-2_3

Cited by 4 publications

(1 citation statement)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…McDermott have referred to calibration points, points in time where AI performance is degraded or improved, and trust needs to be increased or dampened [103]. Through the human-centered design process, designers could uncover what information the system needs to show at different calibration points and prototype these different scenarios [104,105].…”

Section: Trust Through Performancementioning

confidence: 99%

Trust in Clinical AI: Expanding the Unit of Analysis

Browne

Bakker

et al. 2022

HHAI2022: Augmenting Human Intellect

View full text Add to dashboard Cite

From diagnosis to patient scheduling, AI is increasingly being considered across different clinical applications. Despite increasingly powerful clinical AI, uptake into actual clinical workflows remains limited. One of the major challenges is developing appropriate trust with clinicians. In this paper, we investigate trust in clinical AI in a wider perspective beyond user interactions with the AI. We offer several points in the clinical AI development, usage, and monitoring process that can have a significant impact on trust. We argue that the calibration of trust in AI should go beyond explainable AI and focus on the entire process of clinical AI deployment. We illustrate our argument with case studies from practitioners implementing clinical AI in practice to show how trust can be affected by different stages in the deployment cycle.

show abstract

Section: Trust Through Performancementioning

confidence: 99%

Trust in Clinical AI: Expanding the Unit of Analysis

Browne

Bakker

et al. 2022

HHAI2022: Augmenting Human Intellect

View full text Add to dashboard Cite

show abstract

Facets of Trust and Distrust in Collaborative Robots at the Workplace: Towards a Multidimensional and Relational Conceptualisation

Kopp

2024

Int J of Soc Robotics

View full text Add to dashboard Cite

The relevance of trust on the road to successful human-robot interaction is widely acknowledged. Thereby, trust is commonly understood as a monolithic concept characterising dyadic relations between a human and a robot. However, this conceptualisation seems oversimplified and neglects the specific interaction context. In a multidisciplinary approach, this conceptual analysis synthesizes sociological notions of trust and distrust, psychological trust models, and ideas of philosophers of technology in order to pave the way for a multidimensional, relational and context-sensitive conceptualisation of human-robot trust and distrust. In this vein, trust is characterised functionally as a mechanism to cope with environmental complexity when dealing with ambiguously perceived hybrid robots such as collaborative robots, which enable human-robot interactions without physical separation in the workplace context. Common definitions of trust in the HRI context emphasise that trust is based on concrete expectations regarding individual goals. Therefore, I propose a three-dimensional notion of trust that binds trust to a reference object and accounts for various coexisting goals at the workplace. Furthermore, the assumption that robots represent trustees in a narrower sense is challenged by unfolding influential relational networks of trust within the organisational context. In terms of practical implications, trust is distinguished from acceptance and actual technology usage, which may be promoted by trust, but are strongly influenced by contextual moderating factors. In addition, theoretical arguments for considering distrust not only as the opposite of trust, but as an alternative and coexisting complexity reduction mechanism are outlined. Finally, the article presents key conclusions and future research avenues.

show abstract