The Role of Explanations in Assessing and Correcting Personalized Intelligent Agents

By Todd Kulesza, Margaret M. Burnett, Simone Stumpf, Weng-Keen Wong. 2012

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, methodology): “…of researchers have focused more specifically on explanations that might be presented to non-developer users of the systems (Hendricks et al., 2016; Kulesza et al, 2012; 2015; Lomas et al., 2012; Park et al., 2016; Ribiero et al., 2016; Rosenthal et al., 2016) This third generation is typified by…”