Counterfactual Explanation Analytics: Empowering Lay Users to Take Action Against Consequential Automated Decisions
Summary: FACET introduces interactive, robust counterfactual region explanations (vs static point counterfactuals) that surface multiple personalized, actionable modification options a lay user can realistically enact. Web dashboard demonstrates exploration, comparison and plan-building for loan decisions. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Peter M. VanNostrand
- 2. Dennis M. Hofmann
- 3. Lei Ma
- 4. Belisha Genin
- 5. Randy Huang
- 6. Elke A. Rundensteiner
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 129 | The X-tree: An Index Structure for High-Dimensional Data | 1996 | VLDB | 0.0004429571 |
| 5,997 | FACET: Robust Counterfactual Explanation Analytics | 2023 | SIGMOD | 5.2415551e-05 |
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