PRODUCING EXPLANATIONS AND JUSTIFICATIONS OF EXPERT CONSULTING PROGRAMS

By William R. Swartout. 1981

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Shane T. Mueller
2. Robert R. Hoffman
3. Gary Klein
4. Vitali Petsiuk
5. Abigail Emrey
6. Abir Das
7. K. McKeown
8. Kate Saenko

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, background): “…Scott, Clancey, Davis, and Shortliffe, 1977; Scott, Clancey, Davis, and Shortliffe, 1984; Shortliffe, 1976; Silverman, 1992; Southwick, 1988, 1988, Swartout, 1977, 1981, 1983, 1985; Swartout and Moore, 1993; Swartout, Paris, and Moore, 1991; Wallis and Shortliffe, 1981, 1984; Weiner, 1980; Wick…”
• RISE: Randomized Input Sampling for Explanation of Black-box Models (2018, background): “Historically, representing knowledge using rules or decision trees [26, 27] has been found to be interpretable by humans.”
• Discourse Strategies for Generating Natural-Language Text (1985, background): “Swartout [35] examined the problem of knowledge needed for generation in the context of a medical consultation system.”