17 Explanation as a Topic of AI Research

Citations in the corpus

• Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “(Alonso, Castiello, and Mencar, 2018; Biran and Cotton, 2017; Brézillon, 1994; Brézillon and Pomerol, 1997; Buchanan and Shortliffe, 1984; Chakraborty et al., 2017; Clancey, 1986; Core et al., 2006; Craven and Shavlik, 1996; Doran, Shulz, and Besold, 2017; Doshi-Velez and Kim, 2017ab; Doyle,…”
• Designing Theory-Driven User-Centric Explainable AI (2019, background): “Thus, the medical domain is a canonical for XAI (e.g., Leeds Abdominal Pain System [3], MYCIN [14, 91], DXPLAIN [10], GA 2 M [16], Bayesian Rule List [62, 93], Prospector [55], EMBalance [15]).”