Artificial Intelligence › Core AI ›

Responsible AI

1991 directly classified papers

Papers per year

Papers

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning AAAI 2026

Hallucination as a Computational Boundary: A Hierarchy of Inevitability and the Oracle Escape AAAI 2026

From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning AAAI 2026

Large Language Model Unlearning for Source Code AAAI 2026

“Yuki Gets Sushi, David Gets Steak?”: Uncovering Gender and Racial Biases in LLM-Based Meal Recommendations EACL 2026

Safe RAG by RAG: Untying the Bell That RAG Rang with the RAG Hand AAAI 2026

HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation AAAI 2026

SafeLens: Segment-Level Hate Speech Detection in Online Videos AAAI 2026

Situating Youth Agency in Designing AI & Art Policies AAAI 2026

AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models AAAI 2026

Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation AAAI 2026

PriAgent: A Collaborative Multi-Agent Framework for Auditing Android Privacy Compliance AAAI 2026

REFO: Reinforced Evolutionary Faithfulness Optimization for Large Language Models AAAI 2026

Does Question Really Matter? The Attribution of Answer Bias in LLM Evaluation AAAI 2026

Addressing Polarization and Unfairness in Performative Prediction AAAI 2026

Fair Bayesian Data Selection via Generalized Discrepancy Measures AAAI 2026

MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions AAAI 2026

Digital Forensic AI You Can Explain: A Case Study on Video Source Camera Identification WACV 2026

ALPHA: Action-Based Learning for Pluralistic Human Alignment in Large Language Models 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

The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All AAAI 2026

Beetrap-MC: A Minecraft-Based AI Literacy Tool for Teaching Filter Bubbles to Middle School Students AAAI 2026

Games of Representation: Developing Card-Based Activities to Teach About Representation and Bias in AI Datasets AAAI 2026

From Decisions to Multiplicity: Frameworks, Theories, and Applications AAAI 2026

Diffusion for Combating the Hallucination in Large Language Models (Student Abstract) AAAI 2026