ICLR 2026PastML systemsAgentsSafety & alignment
Algorithmic Fairness Across Alignment Procedures and Agentic Systems
AFAA 2026
- Submission deadline
- Feb 6, 2026, 11:59 UTCOpenReview-synced 2026-02-06 11:59 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (35)
Fetched from OpenReview (v2) on 2026-06-10.
Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest
Automatically Finding Reward Model Biases
Cross-Linguistic Failures and Disparities in LLM Medical Reasoning: Analyzing XMedBench and CrossMMLU Across Western and Non-Western Languages
Differential Adjusted Parity for Learning Fair Representations
Disparities in Negation Understanding Across Languages in Vision-Language Models
Distortion of AI Alignment Revisited: RLHF Is a Decent Utilitarian Aligner
Evaluating black-box vulnerabilities with Wasserstein-constrained data perturbations
Exposing Hidden Biases in Text-to-Image Models via Automated Prompt Search
FairMed-VLM: Toward Equitable Medical Di- agnosis with Vision–Language Models
Fairness Failure Modes of Multimodal LLMs
GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
Improving Fairness via Noise Injection in Vision Transformers
Learning to Be Fair: Modeling Fairness Dynamics by Simulating Moral-Based Multi-Agent Resource Allocation
Long-term Fairness with Selective Labels
Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
Mechanics of Bias and Reasoning: Interpreting the Impact of Chain-of-Thought Prompting on Gender Bias in LLMs
MEMORIES THAT DISCRIMINATE: DETECTING AND CORRECTING BIAS IN PERSONALIZED HIRING AGENTS
Metanetworks as Regulatory Operators: Learning to Edit for Requirement Compliance
MGDA-Decoupled: Geometry-Aware Multi-Objective Optimisation for DPO-based LLM Alignment
Mind the Gap: Evaluating Model- and Agentic-Level Vulnerabilities in LLMs with Action Graphs
Moral Preferences of LLMs Under Directed Contextual Influence
Navigating the Rashomon Set: The Impact of Score Distributions and Decision Thresholds on Model Agreement
OC-PRM: Overcredit-Contrastive Training for Precision-First Process Reward Models
Operationalizing Fairness in Text-to-Image Models: A Survey of Bias, Fairness Audits and Mitigation Strategies
Persona Alchemy: Designing, Evaluating, and Implementing Psychologically-Grounded LLM Agents for Diverse Stakeholder Representation
Probing Implicit Bias Risk Framing in Language Models
Procedural Fairness Failures in RLHF from Preference Averaging
Red Teaming the Rules: An Adversarial Approach to Legal Alignment
Robust AI Evaluation through Maximal Lotteries
Scalable Intersectional Bias Auditing in Vision-Language Models through Combinatorial Interaction Testing
SOMnibus: Recovering Underlying Sensitive Attributes with Self-Organizing Maps
State Space Models are Effective Sign Language Learners: Exploiting Phonological Compositionality for Vocabulary-Scale Recognition
THE PERSONALIZATION TRAP: HOW USER MEMORY ALTERS EMOTIONAL REASONING IN LLMS
Verifying Alignment Constraints Under Finite-Sample Uncertainty in Composite-Data Regimes
When AI Describes Race? Unveiling Racial Bias in Vision-Language Models in Brazilian People