Watson, DS;
Floridi, L;
(2020)
The explanation game: a formal framework for interpretable machine learning.
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10.1007/s11229-020-02629-9.
(In press).
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| Type: | Article |
|---|---|
| Title: | The explanation game: a formal framework for interpretable machine learning |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s11229-020-02629-9 |
| Publisher version: | https://doi.org/10.1007/s11229-020-02629-9 |
| Language: | English |
| Additional information: | © 2021 Springer Nature Switzerland AG. This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Algorithmic explainability, Explanation game, Interpretable machine learning, Pareto frontier, Relevance |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10118988 |
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