“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems

Counterfactual state explanations for reinforcement learning agents via generative deep learning

(2021) Matthew L. Olson et al.   ARTIFICIAL INTELLIGENCE

Adaptive trust calibration for human-AI collaboration

(2020) Kazuo Okamura et al.   PLoS One

Evaluating XAI: A comparison of rule-based and example-based explanations

(2020) Jasper van der Waa et al.   ARTIFICIAL INTELLIGENCE

Machine behaviour

(2019) Iyad Rahwan et al.   NATURE

Machine Learning Interpretability: A Survey on Methods and Metrics

(2019) Diogo V. Carvalho et al.   Electronics

Definitions, methods, and applications in interpretable machine learning

(2019) W. James Murdoch et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Factual and Counterfactual Explanations for Black Box Decision Making

(2019) Riccardo Guidotti et al.   IEEE INTELLIGENT SYSTEMS

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

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

The mythos of model interpretability

(2018) Zachary C. Lipton   COMMUNICATIONS OF THE ACM

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

Towards Better Analysis of Deep Convolutional Neural Networks

(2017) Mengchen Liu et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Explaining Data-Driven Document Classifications

(2017) David Martens et al.   MIS QUARTERLY

Recent progress and trends in predictive visual analytics

(2016) Junhua Lu et al.   Frontiers of Computer Science

Opening the Black Box: Strategies for Increased User Involvement in Existing Algorithm Implementations

(2014) Thomas Muhlbacher et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS