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

358 papers, page 7 of 8

301. NeurIPS 2024Mind the Graph When Balancing Data for Fairness or Robustness
302. NeurIPS 2024Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
303. NeurIPS 2024Mitigating Spurious Correlations via Disagreement Probability
304. NeurIPS 2024Multi-Group Proportional Representation in Retrieval
305. NeurIPS 2024On Socially Fair Low-Rank Approximation and Column Subset Selection
306. NeurIPS 2024Parameterized Approximation Schemes for Fair-Range Clustering
307. NeurIPS 2024Perceptual Fairness in Image Restoration
308. NeurIPS 2024Proportional Fairness in Clustering: A Social Choice Perspective
309. NeurIPS 2024Proportional Fairness in Non-Centroid Clustering
310. NeurIPS 2024Regression under demographic parity constraints via unlabeled post-processing
311. NeurIPS 2024Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact
312. NeurIPS 2024Statistical Inference for Fairness Auditing
313. NeurIPS 2024SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
314. NeurIPS 2024The Fairness-Quality Tradeoff in Clustering
315. NeurIPS 2024The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
316. NeurIPS 2024Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
317. NeurIPS 2024Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
318. NeurIPS 2024User-item fairness tradeoffs in recommendations
319. NeurIPS 2024Using Noise to Infer Aspects of Simplicity Without Learning
320. NeurIPS 2024Visual Data Diagnosis and Debiasing with Concept Graphs
321. NeurIPS 2024Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
322. NeurIPS 2024When is Multicalibration Post-Processing Necessary?
323. CVPR 2023FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
324. CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
325. ICLR 2023Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
326. ICLR 2023Equal Improvability: A New Fairness Notion Considering the Long-term Impact
327. ICLR 2023Expressive Monotonic Neural Networks
328. ICLR 2023FairGBM: Gradient Boosting with Fairness Constraints
329. ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
330. ICLR 2023FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
331. ICLR 2023Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization
332. ICLR 2023Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
333. ICML 2023A Closer Look at the Intervention Procedure of Concept Bottleneck Models
334. ICML 2023FAIRER: Fairness as Decision Rationale Alignment
335. ICML 2023Fairness in Matching under Uncertainty
336. ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
337. ICML 2023Matrix Estimation for Individual Fairness
338. ICML 2023On the Within-Group Fairness of Screening Classifiers
339. ICML 2023Superhuman Fairness
340. NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
341. NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
342. NeurIPS 2023[Re] On the Reproducibility of “FairCal: Fairness Calibration for Face Verification”
343. NeurIPS 2023Adapting Fairness Interventions to Missing Values
344. NeurIPS 2023Auditing Fairness by Betting
345. NeurIPS 2023Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
346. NeurIPS 2023Doubly Constrained Fair Clustering
347. NeurIPS 2023Fair Canonical Correlation Analysis
348. NeurIPS 2023Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
349. NeurIPS 2023Fairness Aware Counterfactuals for Subgroups
350. NeurIPS 2023Group Fairness in Peer Review

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.