Counterfactual Metarules for Local and Global Recourse
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866911892166934528 |
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| author | Bewley, Tom Amoukou, Salim I. Mishra, Saumitra Magazzeni, Daniele Veloso, Manuela |
| author_facet | Bewley, Tom Amoukou, Salim I. Mishra, Saumitra Magazzeni, Daniele Veloso, Manuela |
| contents | We introduce T-CREx, a novel model-agnostic method for local and global counterfactual explanation (CE), which summarises recourse options for both individuals and groups in the form of human-readable rules. It leverages tree-based surrogate models to learn the counterfactual rules, alongside 'metarules' denoting their regions of optimality, providing both a global analysis of model behaviour and diverse recourse options for users. Experiments indicate that T-CREx achieves superior aggregate performance over existing rule-based baselines on a range of CE desiderata, while being orders of magnitude faster to run. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_18875 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Counterfactual Metarules for Local and Global Recourse Bewley, Tom Amoukou, Salim I. Mishra, Saumitra Magazzeni, Daniele Veloso, Manuela Artificial Intelligence We introduce T-CREx, a novel model-agnostic method for local and global counterfactual explanation (CE), which summarises recourse options for both individuals and groups in the form of human-readable rules. It leverages tree-based surrogate models to learn the counterfactual rules, alongside 'metarules' denoting their regions of optimality, providing both a global analysis of model behaviour and diverse recourse options for users. Experiments indicate that T-CREx achieves superior aggregate performance over existing rule-based baselines on a range of CE desiderata, while being orders of magnitude faster to run. |
| title | Counterfactual Metarules for Local and Global Recourse |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2405.18875 |