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 5 of 8

201. NeurIPS 2025Fairness-aware Anomaly Detection via Fair Projection
202. NeurIPS 2025Fairness-aware Bayes Optimal Functional Classification
203. NeurIPS 2025FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
204. NeurIPS 2025Faithful Group Shapley Value
205. NeurIPS 2025FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
206. NeurIPS 2025From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes
207. NeurIPS 2025Geometric Imbalance in Semi-Supervised Node Classification
208. NeurIPS 2025Guiding LLM Decision-Making with Fairness Reward Models
209. NeurIPS 2025Homogeneous Algorithms Can Reduce Competition in Personalized Pricing
210. NeurIPS 2025Incentivizing Time-Aware Fairness in Data Sharing
211. NeurIPS 2025Individual Fairness In Strategic Classification
212. NeurIPS 2025Individually Fair Diversity Maximization
213. NeurIPS 2025Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
214. NeurIPS 2025Minimizing False-Positive Attributions in Explanations of Non-Linear Models
215. NeurIPS 2025Monoculture or Multiplicity: Which Is It?
216. NeurIPS 2025Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models
217. NeurIPS 2025On Fairness of Unified Multimodal Large Language Model for Image Generation
218. NeurIPS 2025On Group Sufficiency Under Label Bias
219. NeurIPS 2025On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness
220. NeurIPS 2025On Optimal Steering to Achieve Exact Fairness
221. NeurIPS 2025Path-specific effects for pulse-oximetry guided decisions in critical care
222. NeurIPS 2025Performative Validity of Recourse Explanations
223. NeurIPS 2025Predicting the Performance of Black-box Language Models with Follow-up Queries
224. NeurIPS 2025Provable Gradient Editing of Deep Neural Networks
225. NeurIPS 2025Representational Difference Explanations
226. NeurIPS 2025RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation
227. NeurIPS 2025Rethinking Fair Federated Learning from Parameter and Client View
228. NeurIPS 2025Scalable Fingerprinting of Large Language Models
229. NeurIPS 2025Secure and Confidential Certificates of Online Fairness
230. NeurIPS 2025Selective Omniprediction and Fair Abstention
231. NeurIPS 2025Semantic Representation Attack against Aligned Large Language Models
232. NeurIPS 2025Simple and Effective Specialized Representations for Fair Classifiers
233. NeurIPS 2025Size-adaptive Hypothesis Testing for Fairness
234. NeurIPS 2025Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
235. NeurIPS 2025Strategic Classification with Non-Linear Classifiers
236. NeurIPS 2025Strategic Costs of Perceived Bias in Fair Selection
237. NeurIPS 2025The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective
238. NeurIPS 2025The Price of Opportunity Fairness in Matroid Allocation Problems
239. NeurIPS 2025The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity
240. NeurIPS 2025Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
241. NeurIPS 2025Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
242. NeurIPS 2025Unifying Proportional Fairness in Centroid and Non-Centroid Clustering
243. NeurIPS 2025Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization
244. CVPR 2024Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
245. CVPR 2024Digital Life Project: Autonomous 3D Characters with Social Intelligence
246. CVPR 2024Preserving Fairness Generalization in Deepfake Detection
247. ICLR 2024Aligning Relational Learning with Lipschitz Fairness
248. ICLR 2024Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
249. ICLR 2024Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
250. ICLR 2024Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition

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.