[HTML][HTML] AI literacy for users–A comprehensive review and future research directions of learning methods, components, and effects
The rapid advancement of artificial intelligence (AI) has brought transformative changes to
various aspects of human life, leading to an exponential increase in the number of AI users …
various aspects of human life, leading to an exponential increase in the number of AI users …
Measuring and understanding trust calibrations for automated systems: a survey of the state-of-the-art and future directions
Trust has been recognized as a central variable to explain the resistance to using automated
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …
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 …
What is critical for human-centered AI at work?–Toward an interdisciplinary theory
A Mazarakis, C Bernhard-Skala, M Braun… - Frontiers in Artificial …, 2023 - frontiersin.org
Human-centered artificial intelligence (HCAI) has gained momentum in the scientific
discourse but still lacks clarity. In particular, disciplinary differences regarding the scope of …
discourse but still lacks clarity. In particular, disciplinary differences regarding the scope of …
Explainable artificial intelligence improves human decision-making: results from a mushroom picking experiment at a public art festival
Abstract Explainable Artificial Intelligence (XAI) enables Artificial Intelligence (AI) to explain
its decisions. This holds the promise of making AI more understandable to users, improving …
its decisions. This holds the promise of making AI more understandable to users, improving …
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
Explainable Artificial Intelligence (XAI) plays a crucial role in enabling human understanding
and trust in deep learning systems, often defined as determining which features are most …
and trust in deep learning systems, often defined as determining which features are most …
Explainable Transfer Learning for Modeling and Assessing Risks in Tunnel Construction
Deep learning models are black boxes. Thus, determining the source domain data
contributing to transfer learning for ground settlement prediction is impossible. The research …
contributing to transfer learning for ground settlement prediction is impossible. The research …
[HTML][HTML] A Human–AI interaction paradigm and its application to rhinocytology
Abstract This article explores Human-Centered Artificial Intelligence (HCAI) in medical
cytology, with a focus on enhancing the interaction with AI. It presents a Human–AI …
cytology, with a focus on enhancing the interaction with AI. It presents a Human–AI …
Explainable artificial intelligence: Counterfactual explanations for risk-based decision-making in construction
Artificial intelligence (AI) approaches, such as deep learning models, are increasingly used
to determine risks in construction. However, the black-box nature of AI models makes their …
to determine risks in construction. However, the black-box nature of AI models makes their …
eXplainable artificial intelligence (XAI) in business management research: a success/failure system perspective
TS Chang, DY Bau - Journal of Electronic Business & Digital …, 2024 - emerald.com
Purpose eXplainable artificial intelligence (XAI) is an evaluation framework that allows users
to understand artificial intelligence (AI) processes and increases the reliability of AI …
to understand artificial intelligence (AI) processes and increases the reliability of AI …