Methods for Generating Explanations

By A. Scott, William J. Clancey, Randall Davis, Edward H. Shortliffe. 2005

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. Abigail Emrey
5. William J. Clancey
6. D. Gunning
7. Sina Mohseni
8. Kejkaew Thanasuan

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 et al. (1984) described one example of user history, and Biran and Cotton (2017) examined how personal histories might be useful in making and explaining recommendations.”