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Causability and explainabilty of artificial intelligence in medicine

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

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

Artificial intelligence in diabetes care

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Artificial Intelligence for Diabetes Management and Decision Support: Literature Review

(2018) Ivan Contreras et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

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

Machine Learning and Data Mining Methods in Diabetes Research

(2017) Ioannis Kavakiotis et al.   Computational and Structural Biotechnology Journal

Intelligent Agent Transparency in Human–Agent Teaming for Multi-UxV Management

(2016) Joseph E. Mercado et al.   HUMAN FACTORS

Prototype selection for interpretable classification

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Interacting meaningfully with machine learning systems: Three experiments

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