The Mythos of Model Interpretability: In machine learning, the concept of interpretability is both important and slippery.

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5. Explainable AI reveals new hydroclimatic insights for ecosystem-centric groundwater management
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10. An Interpretable Deep Learning Model for Automatic Sound Classification
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15. Improving reference prioritisation with PICO recognition.
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17. Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning
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18. The Challenges of Leveraging Threat Intelligence to Stop Data Breaches
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19. Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension
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20. Explainable Artificial Intelligence (XAI): A Systematic Literature Review on Taxonomies and Applications in Finance
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21. An Intelligent Early Warning System for Harmful Algal Blooms: Harnessing the Power of Big Data and Deep Learning
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22. From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?
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48. On Tractable Representations of Binary Neural Networks
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49. The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples
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56. Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
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57. Theory In, Theory Out: The Uses of Social Theory in Machine Learning for Social Science
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58. How model accuracy and explanation fidelity influence user trust
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