Artificial Intelligence › Core AI ›

Responsible AI

1991 directly classified papers

Papers per year

Papers

KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education AAAI 2026

A Human-AI Collaboration Mechanism Study on AIGC Assisted Image Production for Special Coverage AAAI 2026

Co-Designing Unplugged Learning Activities with K-2 Teachers for Early AI Literacy Education AAAI 2026

Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026

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

FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making AAAI 2026

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination AAAI 2026

Simulated Rewards, Skewed Strategies: Tracing the Acquired Preference Bias in LLM-Based Dialogue Planners AAAI 2026

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

“As Eastern Powers, I Will Veto.”: An Investigation of Nation-Level Bias of Large Language Models in International Relations AAAI 2026

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

MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration AAAI 2026

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

SDEval: Safety Dynamic Evaluation for Multimodal Large Language Models AAAI 2026

Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation AAAI 2026

Multi-level Style Preference Optimization: An Adaptive Detection Framework for Human-Machine Hybrid Text AAAI 2026

Steering Representations, Safeguarding Privacy: A Cross-Modal Privacy Protection Method for Generative AI AAAI 2026

Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions AAAI 2026

Fairness Perceptions of Large Language Models AAAI 2026

iSeal: Encrypted Fingerprinting for Reliable LLM Ownership Verification AAAI 2026

AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models AAAI 2026

Operationalizing Pluralistic Values in Large Language Model Alignment Reveals Trade-offs in Safety, Inclusivity, and Model Behavior AAAI 2026

Silenced Biases: The Dark Side LLMs Learned to Refuse AAAI 2026

Moral Change or Noise? On Problems of Aligning AI with Temporally Unstable Human Feedback AAAI 2026

A Tale of Two Identities: An Ethical Audit of AI-Crafted Synthetic Personas AAAI 2026