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responsible ai

180 papers

Papers

Big AI is Accelerating the Metacrisis: What Can We Do? ACL 2026 Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models EACL 2026 Effective Strategies for Teaching Machine Learning AAAI 2026 From Decisions to Multiplicity: Frameworks, Theories, and Applications AAAI 2026 How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? An Explainability-Based Audit Framework for Implicit Bias AAAI 2026 LLM BiasScope: A Real-Time Bias Analysis Platform for Comparative LLM Evaluation EACL 2026 NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment EACL 2026 Practising responsibility: Ethics in NLP as a hands-on course EACL 2026 Safety of Large Language Models Beyond English: A Systematic Literature Review of Risks, Biases, and Safeguards EACL 2026 Shifting Perspectives: Steering Vectors for Robust Bias Mitigation in LLMs EACL 2026 “Yuki Gets Sushi, David Gets Steak?”: Uncovering Gender and Racial Biases in LLM-Based Meal Recommendations EACL 2026 A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations EMNLP 2025 Advancing Research on Equitable AI Education Through a Focus on Implementation: Insights from a Middle School Computer Vision Module Beta-Test AAAI 2025 AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation EMNLP 2025 AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics Behind AI AAAI 2025 All You Need Is S P A C E: When Jailbreaking Meets Bias Audit and Reveals What Lies Beneath the Guardrails (Student Abstract) AAAI 2025 A Multilingual, Culture-First Approach to Addressing Misgendering in LLM Applications EMNLP 2025 An Ethical Dataset from Real-World Interactions Between Users and Large Language Models IJCAI 2025 AraSafe: Benchmarking Safety in Arabic LLMs EMNLP 2025 A Recipe For Building a Compliant Real Estate Chatbot COLING 2025 Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation NAACL 2025 Are LLMs Rational Investors? A Study on the Financial Bias in LLMs ACL 2025 A Simple Yet Effective Method for Non-Refusing Context Relevant Fine-grained Safety Steering in LLMs EMNLP 2025 Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases ACL 2025 Chat Bankman-Fried: an Exploration of LLM Alignment in Finance COLING 2025