Social aspects · fairness papers, 2023–2026

Key findings

• Social aspects · fairness went from 36 papers in 2023 to 111 in 2026, roughly 3.1x in three years.
• NeurIPS publishes the most Social aspects · fairness work: 180 papers from 2023 to 2026, 50% of the four-venue total.
• The fastest-growing overlap is with Social aspects · safety: papers tagged with both rose from 1 in 2023 to 56 in 2026.
• Among the 5 topics under Alignment and Responsible AI, it ranks #5 by 2026 paper count; the fastest grower in the group, Social aspects · safety, is up 93x versus 3.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
• ICML 2026A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine Learning
• ICLR 2026Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts
• CVPR 2026Omni-MMSI Toward Identity-attributed Social Interaction Understanding
• NeurIPS 2025Discretization-free Multicalibration through Loss Minimization over Tree Ensembles
• ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
• ICLR 2025Prompting Fairness: Integrating Causality to Debias Large Language Models
• CVPR 2025Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction
• NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
• ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
• ICLR 2024Procedural Fairness Through Decoupling Objectionable Data Generating Components
• CVPR 2024Preserving Fairness Generalization in Deepfake Detection
• NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
• ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
• ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
• CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
• NeurIPS 2026Chatter Attack: Resource Consumption Attack for Large Language Models
• ICML 2026Adaptive Generation of Bias-Eliciting Questions for LLMs
• ICLR 2026Bi-Criteria Metric Distortion
• CVPR 2026Decoupling Bias Aligning Distributions Synergistic Fairness Optimization for Deepfake Detection

All Social aspects · fairness papers

56 papers, page 1 of 2

1. NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
2. NeurIPS 2024A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
3. NeurIPS 2024A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
4. NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
5. NeurIPS 2024A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
6. NeurIPS 2024ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
7. NeurIPS 2024Achievable Fairness on Your Data With Utility Guarantees
8. NeurIPS 2024Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
9. NeurIPS 2024BendVLM: Test-Time Debiasing of Vision-Language Embeddings
10. NeurIPS 2024Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
11. NeurIPS 2024Conformal Classification with Equalized Coverage for Adaptively Selected Groups
12. NeurIPS 2024Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
13. NeurIPS 2024Counterfactual Fairness by Combining Factual and Counterfactual Predictions
14. NeurIPS 2024CultureLLM: Incorporating Cultural Differences into Large Language Models
15. NeurIPS 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Models
16. NeurIPS 2024CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
17. NeurIPS 2024DALD: Improving Logits-based Detector without Logits from Black-box LLMs
18. NeurIPS 2024DeNetDM: Debiasing by Network Depth Modulation
19. NeurIPS 2024Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
20. NeurIPS 2024Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections
21. NeurIPS 2024Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
22. NeurIPS 2024Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
23. NeurIPS 2024Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
24. NeurIPS 2024Fair Kernel K-Means: from Single Kernel to Multiple Kernel
25. NeurIPS 2024Fair Secretaries with Unfair Predictions
26. NeurIPS 2024Fair Wasserstein Coresets
27. NeurIPS 2024Fairness in Social Influence Maximization via Optimal Transport
28. NeurIPS 2024Fairness without Harm: An Influence-Guided Active Sampling Approach
29. NeurIPS 2024Fairness-Aware Estimation of Graphical Models
30. NeurIPS 2024Fairness-Aware Meta-Learning via Nash Bargaining
31. NeurIPS 2024FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
32. NeurIPS 2024FairWire: Fair Graph Generation
33. NeurIPS 2024Interpolating Item and User Fairness in Multi-Sided Recommendations
34. NeurIPS 2024Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
35. NeurIPS 2024Mind the Graph When Balancing Data for Fairness or Robustness
36. NeurIPS 2024Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
37. NeurIPS 2024Mitigating Spurious Correlations via Disagreement Probability
38. NeurIPS 2024Multi-Group Proportional Representation in Retrieval
39. NeurIPS 2024On Socially Fair Low-Rank Approximation and Column Subset Selection
40. NeurIPS 2024Parameterized Approximation Schemes for Fair-Range Clustering
41. NeurIPS 2024Perceptual Fairness in Image Restoration
42. NeurIPS 2024Proportional Fairness in Clustering: A Social Choice Perspective
43. NeurIPS 2024Proportional Fairness in Non-Centroid Clustering
44. NeurIPS 2024Regression under demographic parity constraints via unlabeled post-processing
45. NeurIPS 2024Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact
46. NeurIPS 2024Statistical Inference for Fairness Auditing
47. NeurIPS 2024SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
48. NeurIPS 2024The Fairness-Quality Tradeoff in Clustering
49. NeurIPS 2024The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
50. NeurIPS 2024Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks

FAQ

How many Social aspects · fairness papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

358 in total: 36 in 2023, 79 in 2024, 132 in 2025, 111 in 2026.

How many Social aspects · fairness papers are at NeurIPS 2026?

NeurIPS 2026 has 43 Social aspects · fairness papers, versus 62 the year before.

How many Social aspects · fairness papers are at ICLR 2026?

ICLR 2026 has 4 Social aspects · fairness papers, versus 8 the year before.

How many Social aspects · fairness papers are at ICML 2026?

ICML 2026 has 60 Social aspects · fairness papers, versus 61 the year before.

How many Social aspects · fairness papers are at CVPR 2026?

CVPR 2026 has 4 Social aspects · fairness papers, versus 1 the year before.

Which conference publishes the most Social aspects · fairness papers?

NeurIPS, with 180 papers from 2023 to 2026.