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

79 papers, page 1 of 2

1. CVPR 2024Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
2. CVPR 2024Digital Life Project: Autonomous 3D Characters with Social Intelligence
3. CVPR 2024Preserving Fairness Generalization in Deepfake Detection
4. ICLR 2024Aligning Relational Learning with Lipschitz Fairness
5. ICLR 2024Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
6. ICLR 2024Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
7. ICLR 2024Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
8. ICLR 2024Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
9. ICLR 2024fairret: a Framework for Differentiable Fairness Regularization Terms
10. ICLR 2024Procedural Fairness Through Decoupling Objectionable Data Generating Components
11. ICLR 2024Training Socially Aligned Language Models on Simulated Social Interactions
12. ICLR 2024Unprocessing Seven Years of Algorithmic Fairness
13. ICML 2024FRAPPÉ: A Group Fairness Framework for Post-Processing Everything
14. ICML 2024How Far Can Fairness Constraints Help Recover From Biased Data?
15. ICML 2024Individual Fairness in Graph Decomposition
16. ICML 2024Monotone Individual Fairness
17. ICML 2024On The Fairness Impacts of Hardware Selection in Machine Learning
18. ICML 2024On the Maximal Local Disparity of Fairness-Aware Classifiers
19. ICML 2024Optimally Improving Cooperative Learning in a Social Setting
20. ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
21. ICML 2024Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
22. ICML 2024Stability and Multigroup Fairness in Ranking with Uncertain Predictions
23. ICML 2024Standardized Interpretable Fairness Measures for Continuous Risk Scores
24. NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
25. NeurIPS 2024A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
26. NeurIPS 2024A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
27. NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
28. NeurIPS 2024A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
29. NeurIPS 2024ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
30. NeurIPS 2024Achievable Fairness on Your Data With Utility Guarantees
31. NeurIPS 2024Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
32. NeurIPS 2024BendVLM: Test-Time Debiasing of Vision-Language Embeddings
33. NeurIPS 2024Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
34. NeurIPS 2024Conformal Classification with Equalized Coverage for Adaptively Selected Groups
35. NeurIPS 2024Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
36. NeurIPS 2024Counterfactual Fairness by Combining Factual and Counterfactual Predictions
37. NeurIPS 2024CultureLLM: Incorporating Cultural Differences into Large Language Models
38. NeurIPS 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Models
39. NeurIPS 2024CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
40. NeurIPS 2024DALD: Improving Logits-based Detector without Logits from Black-box LLMs
41. NeurIPS 2024DeNetDM: Debiasing by Network Depth Modulation
42. NeurIPS 2024Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
43. NeurIPS 2024Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections
44. NeurIPS 2024Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
45. NeurIPS 2024Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
46. NeurIPS 2024Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
47. NeurIPS 2024Fair Kernel K-Means: from Single Kernel to Multiple Kernel
48. NeurIPS 2024Fair Secretaries with Unfair Predictions
49. NeurIPS 2024Fair Wasserstein Coresets
50. NeurIPS 2024Fairness in Social Influence Maximization via Optimal Transport

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.