A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …
dramatically changed the medical landscape. Medical centres have adopted AI applications …
[HTML][HTML] Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities
With the rise of artificial intelligence (AI), the issue of trust in AI emerges as a paramount
societal concern. Despite increased attention of researchers, the topic remains fragmented …
societal concern. Despite increased attention of researchers, the topic remains fragmented …
What we already know about corporate digital responsibility in IS research: A review and conceptualization of potential CDR activities
Advances in new technologies affect private and professional lives alike, posing new
opportunities and threats for companies, consumers, and society. In this context, the concept …
opportunities and threats for companies, consumers, and society. In this context, the concept …
Examining experienced chemistry teachers' perception and usage of virtual labs in chemistry classes: a qualitative study using the technology acceptance model 3
SÇ Yazici, C Nakıboğlu - Education and Information Technologies, 2024 - Springer
Abstract Guided by the Technology Acceptance Model 3 (TAM-3), this study concerning VL
focuses to examine chemistry teachers' experiences, perceived ease of use, perceived …
focuses to examine chemistry teachers' experiences, perceived ease of use, perceived …
Managing students' attitude, learning engagement, and stickiness towards e-learning post-COVID-19 in Australian universities: a perceived qualities perspective
Studies have been conducted on university students' acceptance of e-learning systems
during COVID-19. However, less attention has been paid to students' use of e-learning post …
during COVID-19. However, less attention has been paid to students' use of e-learning post …
Enhancing trust in LLM-based AI automation agents: New considerations and future challenges
Trust in AI agents has been extensively studied in the literature, resulting in significant
advancements in our understanding of this field. However, the rapid advancements in Large …
advancements in our understanding of this field. However, the rapid advancements in Large …
Developing trustworthy artificial intelligence: insights from research on interpersonal, human-automation, and human-AI trust
Y Li, B Wu, Y Huang, S Luan - Frontiers in Psychology, 2024 - frontiersin.org
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 …
Alongside this progress, concerns such as privacy violation, discriminatory bias, and safety …
[HTML][HTML] Enhancing trust in online grocery shopping through generative AI chatbots
D Chakraborty, AK Kar, S Patre, S Gupta - Journal of Business Research, 2024 - Elsevier
Abstract Generative Artificial Intelligence (GAI) is witnessing a lot of adoption across
industries, but literature is yet to fully document the nuances of these applications. We …
industries, but literature is yet to fully document the nuances of these applications. We …
Human-centered trust framework: An HCI perspective
The rationale of this work is based on the current user trust discourse of Artificial Intelligence
(AI). We aim to produce novel HCI approaches that use trust as a facilitator for the uptake (or …
(AI). We aim to produce novel HCI approaches that use trust as a facilitator for the uptake (or …