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: 6404
Venue: SIGMOD
Year: 2022
Pagerank: 5.8609352e-05
Overall Rank: 4,872 | 66.11%
DOI: 10.1145/3514221.3522564

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,313	XInsight: eXplainable Data Analysis Through The Lens of Causality	2023	SIGMOD	5.573009e-05
6,903	POEM: Pattern-Oriented Explanations of Convolutional Neural Networks	2023	VLDB	4.8925595e-05
10,010	Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries	2026	PODS	4.1945683e-05
10,392	Shapley Value Estimation Based on Differential Matrix	2025	SIGMOD	4.1945683e-05
10,954	Counterfactual Explanation at Will, with Zero Privacy Leakage	2024	SIGMOD	4.1945683e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
13	Mining Association Rules between Sets of Items in Large Databases	1993	SIGMOD	0.0010864752
36	Fast Algorithms for Mining Association Rules	1994	VLDB	0.00076161096
181	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00036992674
254	Snorkel: Rapid Training Data Creation with Weak Supervision	2018	VLDB	0.00030540555
942	A Formal Approach to Finding Explanations for Database Queries	2014	SIGMOD	0.00015155714
1,041	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD	0.00014482047
1,215	Snuba: Automating Weak Supervision to Label Training Data	2019	VLDB	0.0001323375
1,449	Causal Relational Learning	2020	SIGMOD	0.0001193267
2,753	Complaint-driven Training Data Debugging for Query 2.0	2020	SIGMOD	8.1724339e-05
2,923	Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals	2021	SIGMOD	7.8953538e-05
3,806	HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning	2021	SIGMOD	6.7492837e-05
4,424	PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models	2020	SIGMOD	6.198474e-05
4,725	GeCo: Quality Counterfactual Explanations in Real Time	2021	VLDB	5.9697637e-05
5,347	Adaptive Rule Discovery for Labeling Text Data	2021	SIGMOD	5.5560452e-05
7,262	HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries	2018	VLDB	4.78584e-05

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Overall Rank	Paper	Year	Venue	Pagerank
2,923	Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals	2021	SIGMOD	7.8953538e-05
2,649	Explaining Query Answers with Explanation-Ready Databases	2016	VLDB	8.3719123e-05
5,658	Databases Unbound: Querying All of the World's Bytes with AI	2024	VLDB	5.385675e-05
3,473	AI Meets Database: AI4DB and DB4AI	2021	SIGMOD	7.062864e-05
10,428	CausalExplain: Causal Explanations of Black-box Models with Training Data Subsets	2025	SIGMOD	4.1945683e-05
10,795	Opening The Black-Box: Explaining Learned Cost Models For Databases	2025	VLDB	4.1945683e-05
942	A Formal Approach to Finding Explanations for Database Queries	2014	SIGMOD	0.00015155714
6,565	Toward Interpretable and Actionable Data Analysis with Explanations and Causality	2022	VLDB	5.0081626e-05
7,482	Provenance-Enabled Explainable AI	2024	SIGMOD	4.7180617e-05
2,402	Causality and Explanations in Databases	2014	VLDB	8.8928361e-05