Responsible AI

Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science AAAI 2026 KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education AAAI 2026 Large Language Model Unlearning for Source Code AAAI 2026 Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module AAAI 2026 LLM BiasScope: A Real-Time Bias Analysis Platform for Comparative LLM Evaluation EACL 2026 LLM Safety in Judicial AI: A Stress Test of Social Media Influence on Real-World Judgments AAAI 2026 LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users AAAI 2026 MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration AAAI 2026 MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions AAAI 2026 Moral Change or Noise? On Problems of Aligning AI with Temporally Unstable Human Feedback AAAI 2026 MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization AAAI 2026 Multi-Hall-SA: A Cross-lingual Benchmark for Multi-Type Hallucination Detection in Low-Resource South African Languages EACL 2026 Multi-level Style Preference Optimization: An Adaptive Detection Framework for Human-Machine Hybrid Text AAAI 2026 Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs EACL 2026 News Credibility Assessment by LLMs and Humans: Implications for Political Bias EACL 2026 NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment EACL 2026 NLP Privacy Risk Identification in Social Media (NLP-PRISM): A Survey EACL 2026 No Innocence in Styling: Discovery of Privacy Protection Capabilities and Security Risks in Consumer Generative AI Writing Assistants ACL 2026 Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models AAAI 2026 OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination AAAI 2026 On the Alignment of Large Language Models with Global Human Opinion AAAI 2026 On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning AAAI 2026 Operationalizing Pluralistic Values in Large Language Model Alignment Reveals Trade-offs in Safety, Inclusivity, and Model Behavior AAAI 2026 Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation WACV 2026 Persona Prompting as a Lens on LLM Social Reasoning EACL 2026