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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)

Paper ID
6466
Venue
SIGMOD
Year
2022
Pagerank
6.3843089e-05
Overall Rank
5,054 | 65.33%
DOI
10.1145/3514221.3522564

Incoming Non-self Citations Over Time

Authors

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}
}

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