Responsible AI

SDEval: Safety Dynamic Evaluation for Multimodal Large Language Models AAAI 2026 Seeing All Sides: Multi-Perspective In-Context Learning for Subjective NLP EACL 2026 ShadeEdit: A Utility-Preserving and Defense-Evasive Knowledge Manipulation Attack in Federated LLMs AAAI 2026 Silenced Biases: The Dark Side LLMs Learned to Refuse AAAI 2026 Simulated Rewards, Skewed Strategies: Tracing the Acquired Preference Bias in LLM-Based Dialogue Planners AAAI 2026 Situating Youth Agency in Designing AI & Art Policies AAAI 2026 Steering Representations, Safeguarding Privacy: A Cross-Modal Privacy Protection Method for Generative AI AAAI 2026 Stylistic Transfer from Annotator Communities to Large Language Models EACL 2026 SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities WACV 2026 T2I-RiskyPrompt: A Benchmark for Safety Evaluation, Attack, and Defense on Text-to-Image Model AAAI 2026 Targeting Misalignment: A Conflict-Aware Framework for Reward-Model-based LLM Alignment AAAI 2026 Teaching and Critiquing Conceptualization and Operationalization in NLP EACL 2026 Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning AAAI 2026 The Clinical Fingerprint: Comparing the Rhetorical Integrity and Epistemic Safety of Human Physicians and Large Language Models EACL 2026 The Confidence Trap: Gender Bias and Predictive Certainty in LLMs AAAI 2026 The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All AAAI 2026 The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models EACL 2026 The Shepherd Test: How Will Super Intelligent Agents Balance Care and Control in Asymmetric Relationships? AAAI 2026 The Unintended Trade-off of AI Alignment: Balancing Hallucination Mitigation and Safety in LLMs EACL 2026 Toward Controllable and Trustworthy LLM Reasoning: From Failure Mapping to Cognition-inspired Control and Real-world Impact AAAI 2026 Towards Aligned and Efficient Large Language Models AAAI 2026 Towards an Ontology-Driven Approach to Document Bias (Abstract Reprint) AAAI 2026 Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models AAAI 2026 Towards Inclusive AI: Advancing Multilingual Large Language Models AAAI 2026 Towards Trustworthy Multimodal AI Systems AAAI 2026