Intrinsic, Dialogic, and Impact Measures of Success for Explainable AI. Cassens, J. & Wegener, R. In Cassens, J., Wegener, R., & Kofod-Petersen, A., editors, Proceedings of the Twelfth International Workshop Modelling and Reasoning in Context (MRC 2021), of CEUR Workshop Proceedings, Aachen, Germany, August, 2021. ![Intrinsic, Dialogic, and Impact Measures of Success for Explainable AI [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex This paper presents a brief overview of requirements for development and evaluation of human centred explainable systems. We propose three perspectives on evaluation models for explainable AI that include intrinsic measures, dialogic measures and impact measures. The paper outlines these different perspectives and looks at how the separation might be used for explanation evaluation bench marking and integration into design and development. We propose several avenues for future work.
@inproceedings{Cassens-Wegener-MRC-2021,
keywords = {paper},
author = {Jörg Cassens and Rebekah Wegener},
title = {Intrinsic, Dialogic, and Impact Measures of Success for Explainable AI},
booktitle = {Proceedings of the Twelfth International Workshop Modelling and Reasoning in Context (MRC 2021)},
month = {August},
year = {2021},
eventdate = {2021-08-19},
editor = {Jörg Cassens and Rebekah Wegener and Anders Kofod-Petersen},
venue = {Montréal, Quebec, Canada},
series = {CEUR Workshop Proceedings},
number = {2995},
address = {Aachen, Germany},
issn = {1613-0073},
url = {http://ceur-ws.org/Vol-2995/#paper5},
pdf = {http://ceur-ws.org/Vol-2787/paper5.pdf},
abstract = {This paper presents a brief overview of requirements for development and evaluation of human centred explainable systems.
We propose three perspectives on evaluation models for explainable AI that include intrinsic measures, dialogic measures and impact measures. The paper outlines these different perspectives and looks at how the separation might be used for explanation evaluation bench marking and integration into design and development.
We propose several avenues for future work.}
}
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