FoL 2026
AIED

Bias, Fairness, and Privacy in AIED

Tue Jun 30, 2:00 PM–3:15 PM · North 206
Equity, Fairness & Inclusion Ethics, Governance & Responsible AI Privacy & Data Governance

AIED36 (SS) | Social | Short-paper session

5 talks in this session

Identifying High-Confidence Social Biases in LLMs for Trustworthy Conversational Tutoring Agents
Aitor Arronte Alvarez, Naiyi Xie Fincham
Generative AI & Large Language Models Conversational AI & Chatbot Tutors Equity, Fairness & Inclusion
Personalization over Privacy? Implications of the Privacy-Personalization Trade-Off on Future Use of Intelligent Tutoring Systems
Adrienn Toth, Linda Fanconi, Noé Zufferey, Verena Zimmermann
Intelligent Tutoring Systems Adaptive & Personalized Learning Ethics, Governance & Responsible AI
Dual Mechanisms of Demographic Bias in LLM-based Essay Scoring: A Mechanistic Interpretability Analysis and Mitigation Approach
Kyudong Park, Heewon Min, Chaewon Lee, Ki-Young Shin
Generative AI & Large Language Models Automated Assessment & Scoring Explainable & Trustworthy AI
Decoding Student Dialogue: A Multi-Dimensional Benchmark and Bias Analysis of Large Language Models as Annotation Tools
Jie Cao, Zhanxin Hao, Jifan Yu
Generative AI & Large Language Models Educational Data Mining Methods NLP & Discourse Analysis
AI That Helps—or Widens Gaps? Equity Impacts of a Teaching-by-Learning Tutor in K–12 Mathematics
Fan Zhang, Rui Guo
Mathematics Education Learning-by-Teaching & Teachable Agents K-12 Education