[HTML][HTML] The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review
In domains such as medical and healthcare, the interpretability and explainability of
machine learning and artificial intelligence systems are crucial for building trust in their …
machine learning and artificial intelligence systems are crucial for building trust in their …
[HTML][HTML] Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
Understanding black box models has become paramount as systems based on opaque
Artificial Intelligence (AI) continue to flourish in diverse real-world applications. In response …
Artificial Intelligence (AI) continue to flourish in diverse real-world applications. In response …
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps
R Müller - International Journal of Human–Computer Interaction, 2024 - Taylor & Francis
Saliency maps can explain how deep neural networks classify images. But are they actually
useful for humans? The present systematic review of 68 user studies found that while …
useful for humans? The present systematic review of 68 user studies found that while …
AI shall have no dominion: on how to measure technology dominance in AI-supported human decision-making
In this article, we propose a conceptual and methodological framework for measuring the
impact of the introduction of AI systems in decision settings, based on the concept of …
impact of the introduction of AI systems in decision settings, based on the concept of …
[HTML][HTML] Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems
This paper proposes a user study aimed at evaluating the impact of Class Activation Maps
(CAMs) as an eXplainable AI (XAI) method in a radiological diagnostic task, the detection of …
(CAMs) as an eXplainable AI (XAI) method in a radiological diagnostic task, the detection of …
Painting the black box white: experimental findings from applying XAI to an ECG reading setting
The emergence of black-box, subsymbolic, and statistical AI systems has motivated a rapid
increase in the interest regarding explainable AI (XAI), which encompasses both inherently …
increase in the interest regarding explainable AI (XAI), which encompasses both inherently …
Explanations considered harmful: the impact of misleading explanations on accuracy in hybrid human-ai decision making
Explainable AI (XAI) has the potential to enhance decision-making in human-AI
collaborations, yet existing research indicates that explanations can also lead to undue …
collaborations, yet existing research indicates that explanations can also lead to undue …
Color shadows 2: Assessing the impact of xai on diagnostic decision-making
A comprehensive assessment of the impact of eXplainable AI (XAI) on diagnostic decision-
making should adopt a socio-technical perspective. Our study focuses on Decision Support …
making should adopt a socio-technical perspective. Our study focuses on Decision Support …
The role of explainability and transparency in fostering trust in AI healthcare systems: a systematic literature review, open issues and potential solutions
The healthcare sector has advanced significantly as a result of the ability of artificial
intelligence (AI) to solve cognitive problems that once required human intelligence. As …
intelligence (AI) to solve cognitive problems that once required human intelligence. As …
[HTML][HTML] An Overview of the Empirical Evaluation of Explainable AI (XAI): A Comprehensive Guideline for User-Centered Evaluation in XAI
Recent advances in technology have propelled Artificial Intelligence (AI) into a crucial role in
everyday life, enhancing human performance through sophisticated models and algorithms …
everyday life, enhancing human performance through sophisticated models and algorithms …