Interpretable Data-Based Explanations for Fairness Debugging

Summary: Gopher yields compact data explanations for model bias by pinpointing training-subset root-causes. It defines causal responsibility and uses pruned-pattern mining with ML-based approximation to enable interventions for fairness debugging. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6339
Venue: SIGMOD
Year: 2022
Pagerank: 0.00010263235
Overall Rank: 1,869 | 87.02%
DOI: 10.1145/3514221.3517886

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

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2,987	NL2SQL is a solved problem... Not!	2024	CIDR	7.77529e-05
6,156	On Data-Aware Global Explainability of Graph Neural Networks	2023	VLDB	5.1779507e-05
6,999	Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher	2022	SIGMOD	4.8629617e-05
7,024	A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations	2023	SIGMOD	4.8530001e-05
8,253	Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines	2023	SIGMOD	4.5444167e-05
9,044	Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data	2023	VLDB	4.3997447e-05
9,406	Explaining GNN-based Recommendations in Logic	2025	VLDB	4.3399748e-05
9,644	Fair and Actionable Causal Prescription Ruleset	2025	SIGMOD	4.3067693e-05
10,488	Data Enhancement for Binary Classification of Relational Data	2025	SIGMOD	4.1905499e-05
10,533	Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data	2025	SIGMOD	4.1905499e-05
10,747	Finding Convincing Views to Endorse a Claim	2025	VLDB	4.1905499e-05
10,764	Stress-Testing ML Pipelines with Adversarial Data Corruption	2025	VLDB	4.1905499e-05
10,821	mlidea: Interactively Improving ML Data Preparation Code via "Shadow Pipelines"	2025	VLDB	4.1905499e-05
10,957	Counterfactual Explanation at Will, with Zero Privacy Leakage	2024	SIGMOD	4.1905499e-05
11,003	MisDetect: Iterative Mislabel Detection using Early Loss	2024	VLDB	4.1905499e-05
11,150	Reconstructing and Querying ML Pipeline Intermediates	2023	CIDR	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
182	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00036955562
1,037	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD	0.00014514825
1,406	Responsible Data Management	2020	VLDB	0.0001216385
1,942	SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging	2021	SIGMOD	0.00010010569
2,759	Complaint-driven Training Data Debugging for Query 2.0	2020	SIGMOD	8.1646193e-05
2,816	Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query)	2018	SIGMOD	8.0747683e-05
3,807	HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning	2021	SIGMOD	6.7428898e-05
4,423	PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models	2020	SIGMOD	6.1925724e-05
4,731	MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines	2021	SIGMOD	5.9558692e-05
6,895	Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes	2021	SIGMOD	4.8879337e-05

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