Books

Research

• Explanation and Justification: AI Decision-Making, Law, and the Rights of Citizens, SIR Institute May 18, 2021
• A Review on Explainability in Multimodal Deep Neural Nets, IEEE Access 2021
• Introduction to eXplainable AI (XAI), CHI’2021 Tutorial Notes 2021
• Trust and accuracy: the benefits and pitfalls of explainable AI in health, UofT Schwartz Reisman Institute October 16, 2020
• Explainable AI: A Review of Machine Learning Interpretability Methods, Entropy 2020
• Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges Toward Responsible AI, Information Fusion 2020
• Questioning the AI: Informing Design Practices for Explainable AI User Experiences, Proc. CHI’2020, 2020
• Techniques for Interpretable Machine Learning, CACM 2020
• Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach, Proc. HCII 2020: Multimodality and Intelligence 2020
• Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead, Nature Machine Intelligence 2019
• A Survey of Methods for Explaining Black Box Models, ACM Computing Surveys 2018
• Explainable Artificial Intelligence, DARPA 2016
• Explainable Artificial Intelligence (XAI), Program Information, Defense Advanced Research Projects Agency 2016
• Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission, Proceedings of the 21th ACM International Conference on Knowledge Discovery and Data Mining 2015

Law Review Articles

• Artificial Intelligence (XAI): A reason to believe? Law in Context. A Socio-legal Journal 2022
• AI, on the Law of the Elephant: Toward Understanding Artificial Intelligence, Buffalo Law Review 2021
• The Judicial Demand for Explainable Artificial Intelligence, Columbia Law Review 2019

Laws

• General Data Protection Regulation, Intersoft Consulting 2018

Essays/Blogs

News

Websites

• Explainable Artificial Intelligence, Wikipedia