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 3 of 4

101. NeurIPS 2025The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity
102. NeurIPS 2025Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
103. NeurIPS 2025Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
104. NeurIPS 2025Unifying Proportional Fairness in Centroid and Non-Centroid Clustering
105. NeurIPS 2025Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization
106. NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
107. NeurIPS 2024A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
108. NeurIPS 2024A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
109. NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
110. NeurIPS 2024A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
111. NeurIPS 2024ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
112. NeurIPS 2024Achievable Fairness on Your Data With Utility Guarantees
113. NeurIPS 2024Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
114. NeurIPS 2024BendVLM: Test-Time Debiasing of Vision-Language Embeddings
115. NeurIPS 2024Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
116. NeurIPS 2024Conformal Classification with Equalized Coverage for Adaptively Selected Groups
117. NeurIPS 2024Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
118. NeurIPS 2024Counterfactual Fairness by Combining Factual and Counterfactual Predictions
119. NeurIPS 2024CultureLLM: Incorporating Cultural Differences into Large Language Models
120. NeurIPS 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Models
121. NeurIPS 2024CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
122. NeurIPS 2024DALD: Improving Logits-based Detector without Logits from Black-box LLMs
123. NeurIPS 2024DeNetDM: Debiasing by Network Depth Modulation
124. NeurIPS 2024Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
125. NeurIPS 2024Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections
126. NeurIPS 2024Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
127. NeurIPS 2024Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
128. NeurIPS 2024Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
129. NeurIPS 2024Fair Kernel K-Means: from Single Kernel to Multiple Kernel
130. NeurIPS 2024Fair Secretaries with Unfair Predictions
131. NeurIPS 2024Fair Wasserstein Coresets
132. NeurIPS 2024Fairness in Social Influence Maximization via Optimal Transport
133. NeurIPS 2024Fairness without Harm: An Influence-Guided Active Sampling Approach
134. NeurIPS 2024Fairness-Aware Estimation of Graphical Models
135. NeurIPS 2024Fairness-Aware Meta-Learning via Nash Bargaining
136. NeurIPS 2024FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
137. NeurIPS 2024FairWire: Fair Graph Generation
138. NeurIPS 2024Interpolating Item and User Fairness in Multi-Sided Recommendations
139. NeurIPS 2024Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
140. NeurIPS 2024Mind the Graph When Balancing Data for Fairness or Robustness
141. NeurIPS 2024Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
142. NeurIPS 2024Mitigating Spurious Correlations via Disagreement Probability
143. NeurIPS 2024Multi-Group Proportional Representation in Retrieval
144. NeurIPS 2024On Socially Fair Low-Rank Approximation and Column Subset Selection
145. NeurIPS 2024Parameterized Approximation Schemes for Fair-Range Clustering
146. NeurIPS 2024Perceptual Fairness in Image Restoration
147. NeurIPS 2024Proportional Fairness in Clustering: A Social Choice Perspective
148. NeurIPS 2024Proportional Fairness in Non-Centroid Clustering
149. NeurIPS 2024Regression under demographic parity constraints via unlabeled post-processing
150. NeurIPS 2024Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact

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.