TY - GEN
T1 - A Conceptual Model of Trust in Generative AI Systems
AU - Tahmasbi, Nargess
AU - Rastegari, Elham
AU - Truong, Minh
N1 - Publisher Copyright:
© 2025 IEEE Computer Society. All rights reserved.
PY - 2025
Y1 - 2025
N2 - Generative Artificial Intelligence (GAI) significantly impacts various sectors, offering innovative solutions in consultation, self-education, and creativity. However, the trustworthiness of GAI outputs is questionable due to the absence of theoretical correctness guarantees and the opacity of Artificial Intelligence (AI) processes. These issues, compounded by potential biases and inaccuracies, pose challenges to GAI adoption. This paper delves into the trust dynamics in GAI, highlighting its unique capabilities to generate novel outputs and adapt over time, distinct from traditional AI. We introduce a model analyzing trust in GAI through user experience, operational capabilities, contextual factors, and task types. This work aims to enrich the theoretical discourse and practical approaches in GAI, setting a foundation for future research and applications.
AB - Generative Artificial Intelligence (GAI) significantly impacts various sectors, offering innovative solutions in consultation, self-education, and creativity. However, the trustworthiness of GAI outputs is questionable due to the absence of theoretical correctness guarantees and the opacity of Artificial Intelligence (AI) processes. These issues, compounded by potential biases and inaccuracies, pose challenges to GAI adoption. This paper delves into the trust dynamics in GAI, highlighting its unique capabilities to generate novel outputs and adapt over time, distinct from traditional AI. We introduce a model analyzing trust in GAI through user experience, operational capabilities, contextual factors, and task types. This work aims to enrich the theoretical discourse and practical approaches in GAI, setting a foundation for future research and applications.
UR - https://www.scopus.com/pages/publications/105005148847
UR - https://www.scopus.com/pages/publications/105005148847#tab=citedBy
U2 - 10.24251/hicss.2025.839
DO - 10.24251/hicss.2025.839
M3 - Conference contribution
AN - SCOPUS:105005148847
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 7019
EP - 7028
BT - Proceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025
A2 - Bui, Tung X.
PB - IEEE Computer Society
T2 - 58th Hawaii International Conference on System Sciences, HICSS 2025
Y2 - 7 January 2025 through 10 January 2025
ER -