Explainable AI: Foundations, Applications, Opportunities for Data Management Research
Summary: Tutorial on explainable AI foundations, applications, and governance of opaque, decision-making systems. Positions DB research in XAI by surveying explanation approaches, contrasting strengths/limits, and enumerating data-management opportunities. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Romila Pradhan (Purdue University)
- 2. Aditya Lahiri (University of California San Diego)
- 3. Sainyam Galhotra (University of Chicago)
- 4. Babak Salimi (University of California San Diego)
BibTeX Citation
@inproceedings{pradhan_sigmod22,
title = {{Explainable AI: Foundations, Applications, Opportunities for Data Management Research}},
author = {Pradhan, Romila and Lahiri, Aditya and Galhotra, Sainyam and Salimi, Babak},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3522564},
url = {https://dl.acm.org/doi/10.1145/3514221.3522564},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,876 | XInsight: eXplainable Data Analysis Through The Lens of Causality | 2023 | SIGMOD | 6.4687705e-05 |
| 7,508 | POEM: Pattern-Oriented Explanations of Convolutional Neural Networks | 2023 | VLDB | 5.6029996e-05 |
| 9,541 | Shapley Value Estimation Based on Differential Matrix | 2025 | SIGMOD | 5.2528121e-05 |
| 10,183 | Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries | 2026 | PODS | 5.093636e-05 |
| 10,198 | ASSS: Adaptive Stratified Sampling for Shapley-like Values | 2026 | SIGMOD | 5.093636e-05 |
| 11,170 | Counterfactual Explanation at Will, with Zero Privacy Leakage | 2024 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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