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

1,357 papers, page 20 of 28

951. NeurIPS 2026Agentic-imodels: Evolving agentic interpretability tools via autoresearch
952. NeurIPS 2026AI-Assisted Classification under Correlation Neglect and Trust
953. NeurIPS 2026AI-Mediated Communication Can Steer Collective Opinion
954. NeurIPS 2026Algorithms for Linear Equations with Min and Max Operators Under (Absolutely) Halting Condition
955. NeurIPS 2026Amortized Linear-time Exact Shapley Value for Product-Kernel Methods
956. NeurIPS 2026An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration
957. NeurIPS 2026An Axiomatic Analysis of DPO and NLHF as Reference-Dependent Probabilistic Voting Rules
958. NeurIPS 2026Are Well-Trained Surrogates Optimal? Rethinking the Surrogate Role with Instability for Unlearnable Examples
959. NeurIPS 2026Assessing Per-Sample Membership Inference Vulnerability without Retraining
960. NeurIPS 2026Assign and Add: A Mechanistic Study of Compositional Arithmetic
961. NeurIPS 2026Asymmetric Invertible Threat: Learning Reversible Privacy Defense for Face Recognition
962. NeurIPS 2026Auditor-Assisted Summary-Channel Verification for Hosted LLM Identity Substitution
963. NeurIPS 2026AutoHoney: Automating, Deploying, and Evaluating Scheming Honeypots Across Production Codebases
964. NeurIPS 2026Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds
965. NeurIPS 2026BarrierSteer: LLM Safety via Learning Barrier Steering
966. NeurIPS 2026BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation
967. NeurIPS 2026Before Words, Beyond Speech: Evaluating Nonverbal Social Reasoning in Early Childhood
968. NeurIPS 2026Bentkus-type asymptotic e-values
969. NeurIPS 2026Beyond Confidence: Rethinking Self-Assessments for Performance Prediction in LLMs
970. NeurIPS 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
971. NeurIPS 2026Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering
972. NeurIPS 2026Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction
973. NeurIPS 2026Beyond Success Rates: Trainability and Extractability in Offline GCRL
974. NeurIPS 2026Beyond the Half Approximation: Fair and Efficient Online Class Matching
975. NeurIPS 2026Beyond the Prompt: Leveraging Pre-Decoding States for Jailbreak Detection in dLLMs
976. NeurIPS 2026BIAS-ID: A Framework for Analyzing Transformation Biases in AI-Generated Image Detectors
977. NeurIPS 2026Bias, Measurement Error, and Double-Dipping: When Can GNN Convolutions Help Brain Connectome Prediction?
978. NeurIPS 2026BiasTrojan: LLM Judgers Are Easily Distorted by Few Hundreds of Contrastive Biased Training Data
979. NeurIPS 2026Black-Box Inference of LLM Architectural Properties with Restrictive API Access
980. NeurIPS 2026Bottleneck Benchmark: Sequence Compression Under Controlled Difficulty and Fixed Latent Size
981. NeurIPS 2026Bridging Compute- and Data-Optimal Pretraining
982. NeurIPS 2026Budgeting Discretion: Theory and Evidence on Street-Level Decision-Making
983. NeurIPS 2026CalArena: A Large Scale Post-Hoc Calibration Benchmark
984. NeurIPS 2026CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents
985. NeurIPS 2026Castle-in-the-Air: Probing the Foundational Visual Deficits of MLLMs via Bottom-Up Cognitive Factors
986. NeurIPS 2026Causal Evaluation of Membership Inference Attacks
987. NeurIPS 2026Certified but Private: Scalable Zero-Knowledge Proofs for the Formal Verification of Neural Networks
988. NeurIPS 2026Chain-of-Thought Is Not Explainability
989. NeurIPS 2026Chatter Attack: Resource Consumption Attack for Large Language Models
990. NeurIPS 2026ChronosAlign: A Large-Scale, Updatable Benchmark for Decomposing Temporal Alignment in LLMs
991. NeurIPS 2026Classification at the Edge of Stability: Unifying Self-Stabilization and Convergence Rates
992. NeurIPS 2026Closed-Loop Alignment: Socially Coupled In-Context Learning and Relational Posterior Collapse
993. NeurIPS 2026Co-Evolving Interpolants and Flows via Path-Flow Alignment
994. NeurIPS 2026Cognitive bias benchmarks should incorporate insights from ecological rationality
995. NeurIPS 2026Cognitive Firewalls: A Synthetic Account of Cross-Lingual Reasoning Collapse
996. NeurIPS 2026Community-Centered AI is Feasible and Beneficial for Impacted Communities
997. NeurIPS 2026Compact Representations of Impact-Based Fair-Ranking Policies
998. NeurIPS 2026Comparing Transformers and Hybrid Models at the Token Level
999. NeurIPS 2026Compressing Collections of Trees with Decision Equivalence
1000. NeurIPS 2026Computationally Efficient Replicable Learning of Parities and Applications

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.