Social aspects · accountability transparency and interpretability papers, 2023–2026

Key findings

• Social aspects · accountability transparency and interpretability went from 301 papers in 2023 to 1,357 in 2026, roughly 4.5x in three years.
• NeurIPS publishes the most Social aspects · accountability transparency and interpretability work: 1,275 papers from 2023 to 2026, 37% of the four-venue total.
• The fastest-growing overlap is with Social aspects · privacy: papers tagged with both rose from 0 in 2023 to 93 in 2026.
• Among the 5 topics under Alignment and Responsible AI, it ranks #2 by 2026 paper count; the fastest grower in the group, Social aspects · safety, is up 93x versus 4.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Unifying Perspective on Language Model Interpretability
• ICML 2026$\texttt{PRISM}$:A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
• ICLR 2026Automated Interpretability Metrics Do Not Distinguish Trained and Random Transformers
• CVPR 2026Beyond Matching to Tiles Bridging Unaligned Aerial and Satellite Views
• NeurIPS 2025$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
• ICML 2025(How) Can Transformers Predict Pseudo-Random Numbers?
• ICLR 2025Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers
• CVPR 2025Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
• NeurIPS 20242D-OOB: Attributing Data Contribution Through Joint Valuation Framework
• ICML 2024Attention Meets Post-hoc Interpretability: A Mathematical Perspective
• ICLR 2024"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
• CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
• NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
• ICML 2023A Modern Look at the Relationship between Sharpness and Generalization
• ICLR 2023Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
• CVPR 2023Analyzing and Diagnosing Pose Estimation With Attributions
• NeurIPS 2026AdKnob: Ad Intensity Control and Labeling for LLM-Native Advertising
• ICML 2026$\texttt{ShaplEIG}$: Bayesian Experimental Design for Shapley Value Estimation
• ICLR 2026Bandits with Single-Peaked Preferences and Limited Resources
• CVPR 2026IEBGLAn Interpretability-Enhanced Brain Graph Learning Framework with LLM-Instructed Topology and

All Social aspects · accountability transparency and interpretability papers

589 papers, page 6 of 12

251. ICML 2024Learning and Forgetting Unsafe Examples in Large Language Models
252. ICML 2024Learning to Intervene on Concept Bottlenecks
253. ICML 2024Light and Optimal Schrödinger Bridge Matching
254. ICML 2024LLaGA: Large Language and Graph Assistant
255. ICML 2024Local vs. Global Interpretability: A Computational Complexity Perspective
256. ICML 2024Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning
257. ICML 2024MGit: A Model Versioning and Management System
258. ICML 2024Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value
259. ICML 2024Model Assessment and Selection under Temporal Distribution Shift
260. ICML 2024MultiMax: Sparse and Multi-Modal Attention Learning
261. ICML 2024Naive Bayes Classifiers over Missing Data: Decision and Poisoning
262. ICML 2024NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
263. ICML 2024Observable Propagation: Uncovering Feature Vectors in Transformers
264. ICML 2024Offline Training of Language Model Agents with Functions as Learnable Weights
265. ICML 2024On a Combinatorial Problem Arising in Machine Teaching
266. ICML 2024On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning
267. ICML 2024On the Implicit Bias of Adam
268. ICML 2024Optimally Improving Cooperative Learning in a Social Setting
269. ICML 2024Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
270. ICML 2024Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
271. ICML 2024OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
272. ICML 2024Partial Optimality in the Linear Ordering Problem
273. ICML 2024Performative Prediction with Bandit Feedback: Learning through Reparameterization
274. ICML 2024Perturb-and-Project: Differentially Private Similarities and Marginals
275. ICML 2024Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach
276. ICML 2024PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
277. ICML 2024Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
278. ICML 2024Position: AI/ML Influencers Have a Place in the Academic Process
279. ICML 2024Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience
280. ICML 2024Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
281. ICML 2024Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
282. ICML 2024Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-Regulation
283. ICML 2024Position: Measure Dataset Diversity, Don't Just Claim It
284. ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
285. ICML 2024Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
286. ICML 2024Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
287. ICML 2024Position: Stop Making Unscientific AGI Performance Claims
288. ICML 2024Positive and Unlabeled Learning with Controlled Probability Boundary Fence
289. ICML 2024Pricing with Contextual Elasticity and Heteroscedastic Valuation
290. ICML 2024Probabilistic Constrained Reinforcement Learning with Formal Interpretability
291. ICML 2024Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation
292. ICML 2024Prospector Heads: Generalized Feature Attribution for Large Models & Data
293. ICML 2024Prototypical Transformer As Unified Motion Learners
294. ICML 2024Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics
295. ICML 2024Representation Surgery: Theory and Practice of Affine Steering
296. ICML 2024Representing Molecules as Random Walks Over Interpretable Grammars
297. ICML 2024Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
298. ICML 2024Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity
299. ICML 2024Risk Estimation in a Markov Cost Process: Lower and Upper Bounds
300. ICML 2024Robust and Conjugate Gaussian Process Regression

FAQ

How many Social aspects · accountability transparency and interpretability papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

3,411 in total: 301 in 2023, 589 in 2024, 1,164 in 2025, 1,357 in 2026.

How many Social aspects · accountability transparency and interpretability papers are at NeurIPS 2026?

NeurIPS 2026 has 416 Social aspects · accountability transparency and interpretability papers, versus 522 the year before.

How many Social aspects · accountability transparency and interpretability papers are at ICLR 2026?

ICLR 2026 has 292 Social aspects · accountability transparency and interpretability papers, versus 211 the year before.

How many Social aspects · accountability transparency and interpretability papers are at ICML 2026?

ICML 2026 has 541 Social aspects · accountability transparency and interpretability papers, versus 337 the year before.

How many Social aspects · accountability transparency and interpretability papers are at CVPR 2026?

CVPR 2026 has 108 Social aspects · accountability transparency and interpretability papers, versus 94 the year before.

Which conference publishes the most Social aspects · accountability transparency and interpretability papers?

NeurIPS, with 1,275 papers from 2023 to 2026.