[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 …
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data
In this paper we introduce a new class of software tools engaged in delivering successful
explanations of complex processes on top of basic Explainable AI (XAI) software systems …
explanations of complex processes on top of basic Explainable AI (XAI) software systems …
Interpreting forecasted vital signs using n-beats in sepsis patients
A Bhatti, N Thangavelu, M Hassan, C Kim… - arXiv preprint arXiv …, 2023 - arxiv.org
Detecting and predicting septic shock early is crucial for the best possible outcome for
patients. Accurately forecasting the vital signs of patients with sepsis provides valuable …
patients. Accurately forecasting the vital signs of patients with sepsis provides valuable …
Towards a comprehensive human-centred evaluation framework for explainable AI
While research on explainable AI (XAI) is booming and explanation techniques have proven
promising in many application domains, standardised human-centred evaluation …
promising in many application domains, standardised human-centred evaluation …
[PDF][PDF] A global model-agnostic XAI method for the automatic formation of an abstract argumentation framework and its objective evaluation
Abstract Explainable Artificial Intelligence (XAI) aims to train data-driven, machine learning
(ML) models possessing both high predictive accuracy and a high degree of explainability …
(ML) models possessing both high predictive accuracy and a high degree of explainability …
Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods
Abstract One goal of Explainable Artificial Intelligence (XAI) is to interpret and explain the
inferential process of data-driven machine-learned models to make it comprehensible for …
inferential process of data-driven machine-learned models to make it comprehensible for …
[PDF][PDF] Why Industry 5.0 Needs XAI 2.0?
Advances in artificial intelligence trigger transformations that make more and more
companies enter Industry 4.0 and 5.0 eras. In many cases, these transformations are …
companies enter Industry 4.0 and 5.0 eras. In many cases, these transformations are …
eXplego: An interactive tool that helps you select appropriate XAI-methods for your explainability needs
The growing demand for transparency, interpretability, and explainability of machine
learning models and AI systems has fueled the development of methods aimed at …
learning models and AI systems has fueled the development of methods aimed at …
Development of an explainability scale to evaluate explainable artificial intelligence (xai) methods
S McCarthy - 2022 - arrow.tudublin.ie
Abstract Explainable Artificial Intelligence (XAI) is an area of research that develops
methods and techniques to make the results of artificial intelligence understood by humans …
methods and techniques to make the results of artificial intelligence understood by humans …
Human-Centered Design and Evaluation of Explanation User Interfaces–A Design Science Research Perspective
E Bunde - 2023 - refubium.fu-berlin.de
Artificial intelligence (AI) has become integral to our private and professional lives. In the
form of personal assistants, they support us in completing tasks or take them off our hands …
form of personal assistants, they support us in completing tasks or take them off our hands …