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

180 papers, page 2 of 4

51. NeurIPS 2025Discovering Opinion Intervals from Conflicts in Signed Graphs
52. NeurIPS 2025Discretization-free Multicalibration through Loss Minimization over Tree Ensembles
53. NeurIPS 2025Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values
54. NeurIPS 2025Does Representation Guarantee Welfare?
55. NeurIPS 2025DPA: A one-stop metric to measure bias amplification in classification datasets
56. NeurIPS 2025Efficient Fairness-Performance Pareto Front Computation
57. NeurIPS 2025Fair Continuous Resource Allocation with Equality of Impact
58. NeurIPS 2025Fair Deepfake Detectors Can Generalize
59. NeurIPS 2025Fair Matroid Selection
60. NeurIPS 2025Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
61. NeurIPS 2025FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
62. NeurIPS 2025Fairness under Competition
63. NeurIPS 2025Fairness-aware Anomaly Detection via Fair Projection
64. NeurIPS 2025Fairness-aware Bayes Optimal Functional Classification
65. NeurIPS 2025FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
66. NeurIPS 2025Faithful Group Shapley Value
67. NeurIPS 2025FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
68. NeurIPS 2025From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes
69. NeurIPS 2025Geometric Imbalance in Semi-Supervised Node Classification
70. NeurIPS 2025Guiding LLM Decision-Making with Fairness Reward Models
71. NeurIPS 2025Homogeneous Algorithms Can Reduce Competition in Personalized Pricing
72. NeurIPS 2025Incentivizing Time-Aware Fairness in Data Sharing
73. NeurIPS 2025Individual Fairness In Strategic Classification
74. NeurIPS 2025Individually Fair Diversity Maximization
75. NeurIPS 2025Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
76. NeurIPS 2025Minimizing False-Positive Attributions in Explanations of Non-Linear Models
77. NeurIPS 2025Monoculture or Multiplicity: Which Is It?
78. NeurIPS 2025Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models
79. NeurIPS 2025On Fairness of Unified Multimodal Large Language Model for Image Generation
80. NeurIPS 2025On Group Sufficiency Under Label Bias
81. NeurIPS 2025On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness
82. NeurIPS 2025On Optimal Steering to Achieve Exact Fairness
83. NeurIPS 2025Path-specific effects for pulse-oximetry guided decisions in critical care
84. NeurIPS 2025Performative Validity of Recourse Explanations
85. NeurIPS 2025Predicting the Performance of Black-box Language Models with Follow-up Queries
86. NeurIPS 2025Provable Gradient Editing of Deep Neural Networks
87. NeurIPS 2025Representational Difference Explanations
88. NeurIPS 2025RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation
89. NeurIPS 2025Rethinking Fair Federated Learning from Parameter and Client View
90. NeurIPS 2025Scalable Fingerprinting of Large Language Models
91. NeurIPS 2025Secure and Confidential Certificates of Online Fairness
92. NeurIPS 2025Selective Omniprediction and Fair Abstention
93. NeurIPS 2025Semantic Representation Attack against Aligned Large Language Models
94. NeurIPS 2025Simple and Effective Specialized Representations for Fair Classifiers
95. NeurIPS 2025Size-adaptive Hypothesis Testing for Fairness
96. NeurIPS 2025Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
97. NeurIPS 2025Strategic Classification with Non-Linear Classifiers
98. NeurIPS 2025Strategic Costs of Perceived Bias in Fair Selection
99. NeurIPS 2025The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective
100. NeurIPS 2025The Price of Opportunity Fairness in Matroid Allocation Problems

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.