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 4 of 4

151. NeurIPS 2024Statistical Inference for Fairness Auditing
152. NeurIPS 2024SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
153. NeurIPS 2024The Fairness-Quality Tradeoff in Clustering
154. NeurIPS 2024The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
155. NeurIPS 2024Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
156. NeurIPS 2024Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
157. NeurIPS 2024User-item fairness tradeoffs in recommendations
158. NeurIPS 2024Using Noise to Infer Aspects of Simplicity Without Learning
159. NeurIPS 2024Visual Data Diagnosis and Debiasing with Concept Graphs
160. NeurIPS 2024Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
161. NeurIPS 2024When is Multicalibration Post-Processing Necessary?
162. NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
163. NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
164. NeurIPS 2023[Re] On the Reproducibility of “FairCal: Fairness Calibration for Face Verification”
165. NeurIPS 2023Adapting Fairness Interventions to Missing Values
166. NeurIPS 2023Auditing Fairness by Betting
167. NeurIPS 2023Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
168. NeurIPS 2023Doubly Constrained Fair Clustering
169. NeurIPS 2023Fair Canonical Correlation Analysis
170. NeurIPS 2023Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
171. NeurIPS 2023Fairness Aware Counterfactuals for Subgroups
172. NeurIPS 2023Group Fairness in Peer Review
173. NeurIPS 2023Long-Term Fairness with Unknown Dynamics
174. NeurIPS 2023Nash Regret Guarantees for Linear Bandits
175. NeurIPS 2023Reproducibility study of the Fairness-enhanced Node Representation Learning
176. NeurIPS 2023Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness
177. NeurIPS 2023Scalable Fair Influence Maximization
178. NeurIPS 2023Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
179. NeurIPS 2023Strategyproof Voting under Correlated Beliefs
180. NeurIPS 2023Uncovering and Quantifying Social Biases in Code Generation

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.