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

43 papers, page 1 of 1

1. NeurIPS 2026A Comprehensive View of Fairness through Distributional Stability
2. NeurIPS 2026Adversarial Group Fairness in Contextual Bandits: When Robust is Not Fair
3. NeurIPS 2026AI-Mediated Communication Can Steer Collective Opinion
4. NeurIPS 2026Auditing Cross-Lingual Fairness in Language Model Watermarking
5. NeurIPS 2026Beyond Confidence: Rethinking Self-Assessments for Performance Prediction in LLMs
6. NeurIPS 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
7. NeurIPS 2026Black-Box Inference of LLM Architectural Properties with Restrictive API Access
8. NeurIPS 2026CalArena: A Large Scale Post-Hoc Calibration Benchmark
9. NeurIPS 2026Chatter Attack: Resource Consumption Attack for Large Language Models
10. NeurIPS 2026Cognitive bias benchmarks should incorporate insights from ecological rationality
11. NeurIPS 2026Compact Representations of Impact-Based Fair-Ranking Policies
12. NeurIPS 2026Compressing Collections of Trees with Decision Equivalence
13. NeurIPS 2026Conceal, Reconstruct, Jailbreak: Exploiting the Reconstruction--Concealment Tradeoff in MLLMs
14. NeurIPS 2026Cost Efficient Fairness Audit Under Partial Feedback
15. NeurIPS 2026Embeddings for Preferences, Not Semantics
16. NeurIPS 2026Escape the Context Manifold: Preventing DiT In-Context Editing via Conditional Flow Hijacking
17. NeurIPS 2026Finding Interpretable Prompt-Specific Circuits in Language Models
18. NeurIPS 2026Gradient-Mine Units: Scorched-Earth Strategy for Model Protection against Unauthorized Fine-Tuning
19. NeurIPS 2026Hierarchical Conformal Classification
20. NeurIPS 2026How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustness
21. NeurIPS 2026How Likely Are Voting Rules Equitable?
22. NeurIPS 2026Integral Probability Boundaries
23. NeurIPS 2026Intersectional Fairness via Mixed-Integer Optimization
24. NeurIPS 2026Jointly Robust Fairness: Overcoming Simultaneous Label and Attribute Noise
25. NeurIPS 2026LLM Rheology: Auditing Refusal Geometry in Aligned Language Models
26. NeurIPS 2026Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values
27. NeurIPS 2026Malicious Node Injection: A Transferable Adversarial Attack on GNN Fairness
28. NeurIPS 2026Metaphor Is Not All Attention Needs
29. NeurIPS 2026Nash Social Welfare for Multi Armed Bandits: Trajectory-wise Expected and High Probability Regret
30. NeurIPS 2026On the Burden of Achieving Fairness in Conformal Prediction
31. NeurIPS 2026Overcoming the Resolution Limit: Significance-Aware Regularization for Intersectional Fairness
32. NeurIPS 2026Persona-Model Collapse in Emergent Misalignment
33. NeurIPS 2026Practical Estimation of the Bayes Optimal Fairness-Accuracy Tradeoff with Soft Labels
34. NeurIPS 2026PrivateSeal: Low-Sensitivity Latent Directions for Diffusion-Resilient User-Specific Watermarking
35. NeurIPS 2026Provable Explanations for Any-Order Neural Additive Models
36. NeurIPS 2026Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
37. NeurIPS 2026Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales
38. NeurIPS 2026TensorCommitments: A Lightweight Verifiable Inference for Large Language Models
39. NeurIPS 2026The Algorithm Is Not the Behavior: Learned Priors Override Look-Ahead in a Chess-Playing Neural Network
40. NeurIPS 2026The Geometric Inductive Bias of Grokking: Bypassing Phase Transitions via Architectural Topology
41. NeurIPS 2026The Panel Complexity of Sortition: Is 12 Angry Men Enough?
42. NeurIPS 2026Towards Fair Graph Generation Without Sensitive Attribute
43. NeurIPS 2026Training ML Models with Predictable Failures

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.