Human-centered XAI: Developing design patterns for explanations of clinical decision support systems

Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI

(2021) Andreas Holzinger et al.   Information Fusion

The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies

(2020) Aniek F. Markus et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Explainable artificial intelligence for breast cancer: a visual case-based reasoning approach

(2019) Jean-Baptiste Lamy et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams

(2019) Ewart J. de Visser et al.   International Journal of Social Robotics

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Methods for interpreting and understanding deep neural networks

(2018) Grégoire Montavon et al.   DIGITAL SIGNAL PROCESSING

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

Explanation in artificial intelligence: Insights from the social sciences

(2018) Tim Miller   ARTIFICIAL INTELLIGENCE

A systematic review and taxonomy of explanations in decision support and recommender systems

(2017) Ingrid Nunes et al.   USER MODELING AND USER-ADAPTED INTERACTION

A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction

(2011) Peter A. Hancock et al.   HUMAN FACTORS