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

139 papers, page 2 of 3

51. ICML 2026RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data
52. ICML 2026SAEs-BrainMap: Unveiling the Emergence of Specialized Concepts in Deep Models via Brain Alignment
53. ICML 2026Self-correcting for Debiasing Large Language Models
54. ICML 2026Test-Time Debiasing with Probabilistic Prompts via Wasserstein Distance in Vision-Language Models
55. ICML 2026Three Years of r/ChatGPT: Societal Impact Evaluations from Social Media Data
56. ICML 2026Towards Steering without Sacrifice: Principled Training of Steering Vectors for Prompt-only Interventions
57. ICML 2026Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs
58. ICML 2026What is Missing? Explaining Neurons Activated by Absent Concepts
59. ICML 2026When Random Saliency Looks Trained: Architectural Center Bias in CNN Interpretability
60. ICML 2026Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations
61. ICML 2025"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
62. ICML 2025(How) Can Transformers Predict Pseudo-Random Numbers?
63. ICML 2025Accelerating Spectral Clustering under Fairness Constraints
64. ICML 2025Automatically Interpreting Millions of Features in Large Language Models
65. ICML 2025B-score: Detecting biases in large language models using response history
66. ICML 2025Causal Logistic Bandits with Counterfactual Fairness Constraints
67. ICML 2025Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
68. ICML 2025Correlated Errors in Large Language Models
69. ICML 2025DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
70. ICML 2025Detecting Strategic Deception with Linear Probes
71. ICML 2025Discovering Spoofing Attempts on Language Model Watermarks
72. ICML 2025Disparate Conditional Prediction in Multiclass Classifiers
73. ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
74. ICML 2025Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations
75. ICML 2025ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
76. ICML 2025Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
77. ICML 2025FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
78. ICML 2025Fair Clustering via Alignment
79. ICML 2025FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
80. ICML 2025Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
81. ICML 2025Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
82. ICML 2025Fast Estimation of Partial Dependence Functions using Trees
83. ICML 2025FDGen: A Fairness-Aware Graph Generation Model
84. ICML 2025From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
85. ICML 2025Generative Social Choice: The Next Generation
86. ICML 2025Graph Inverse Style Transfer for Counterfactual Explainability
87. ICML 2025Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
88. ICML 2025Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
89. ICML 2025KGMark: A Diffusion Watermark for Knowledge Graphs
90. ICML 2025Learning Classifiers That Induce Markets
91. ICML 2025Learning to Route LLMs with Confidence Tokens
92. ICML 2025Leveraging Predictive Equivalence in Decision Trees
93. ICML 2025LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
94. ICML 2025Mind the Gap: A Practical Attack on GGUF Quantization
95. ICML 2025Multiaccuracy and Multicalibration via Proxy Groups
96. ICML 2025On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness
97. ICML 2025On the Impact of Performative Risk Minimization for Binary Random Variables
98. ICML 2025Optimal Fair Learning Robust to Adversarial Distribution Shift
99. ICML 2025Policy Design for Two-sided Platforms with Participation Dynamics
100. ICML 2025Position: LLM Social Simulations Are a Promising Research Method

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.