Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis

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Main Authors: Giovanni De, Toni, Bruno, Lepri, Andrea, Passerini
Format: Book
Language:Vietnamese
Published: Springer 2023
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Online Access:https://link.springer.com/article/10.1007/s10994-022-06293-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7347
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spelling oai:localhost:PNK-73472023-03-30T09:07:07Z Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis Giovanni De, Toni Bruno, Lepri Andrea, Passerini interventions—sequences of actions black-box machine learning model CC BY Being able to provide counterfactual interventions—sequences of actions we would have had to take for a desirable outcome to happen—is essential to explain how to change an unfavourable decision by a black-box machine learning model (e.g., being denied a loan request). Existing solutions have mainly focused on generating feasible interventions without providing explanations of their rationale. Moreover, they need to solve a separate optimization problem for each user. 2023-03-30T09:07:07Z 2023-03-30T09:07:07Z 2023 Book https://link.springer.com/article/10.1007/s10994-022-06293-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7347 vi application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language Vietnamese
topic interventions—sequences of actions
black-box machine learning model
spellingShingle interventions—sequences of actions
black-box machine learning model
Giovanni De, Toni
Bruno, Lepri
Andrea, Passerini
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
description CC BY
format Book
author Giovanni De, Toni
Bruno, Lepri
Andrea, Passerini
author_facet Giovanni De, Toni
Bruno, Lepri
Andrea, Passerini
author_sort Giovanni De, Toni
title Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
title_short Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
title_full Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
title_fullStr Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
title_full_unstemmed Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
title_sort synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10994-022-06293-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7347
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score 8.881002