Shi Ding

Human-Centered AI · AI Evaluation · Alignment
Georgia Institute of Technology

Scholar · GitHub · LinkedIn

About

I am a Ph.D. Candidate at the Georgia Institute of Technology, advised by Regents Professor Brian Magerko in the Expressive Machinery Lab.

My research lies at the intersection of Human–AI Interaction, AI Evaluation, and AI Alignment. I develop human-centered methods for understanding and evaluating how AI systems behave in real-world interactions, with a particular focus on large language models, AI agents, and human-facing AI systems.

At Georgia Tech, I contribute to the NSF-funded EarSketch project, where I study AI-supported learning, accessibility, and the design of AI systems that better support diverse learners. More broadly, I am interested in how AI systems reason, communicate, and collaborate with people in real-world contexts.

News

July 2026 Session Chair for ACL 2026 (NLG, RAG, and Efficiency)

Jun 2026 Successfully passed Ph.D. proposal defense 🎉

Jun 2026 First-author paper accepted to the ACL 2026 EvalEval Workshop

Jun 2026 First-author paper accepted to ISLS 2026 and presented at UC Irvine (CS Track)

April 2026 First-author paper accepted to ACM IDC 2026

Selected Publications

ACL 2026
Evaluating Multi-turn Human-AI Interaction

Shi Ding, Sijian Tan
EvalEval Workshop at the Annual Meeting of the Association for Computational Linguistics (ACL), 2026
NeurIPS 2025
Rethinking AI Evaluation through TEACH-AI: A Human-Centered Benchmark and Toolkit for Evaluating AI Assistants in Education

Shi Ding, Brian Magerko
Socially Responsible and Trustworthy Foundation Models Workshop at NeurIPS, 2025
AIED 2025
Considering Large Language Model Integration in Expressive Computer Science Learning Environments for Blind and Visually Impaired Learners through Co-design

Shi Ding, Jason Brent Smith, Brian Magerko
Proceedings of the International Conference on Artificial Intelligence in Education (AIED 2025), Springer Nature
SIGCSE 2026
Bridging Responsible AI and AI Literacy: The TEACH-RAI Framework and Toolkit for Education, Design, and Research

Shi Ding, Brian Magerko
Proceedings of the 57th ACM Technical Symposium on Computer Science Education (SIGCSE TS), 2026
IDC 2026
Human–AI Interaction for Accessible CS Learning: Co-Designing AI with Blind and Visually Impaired Learners

Shi Ding, Jason Brent Smith, Kevin Gautier, Stephen Garrett, Brian Magerko, Jason Freeman, Bryan Pardo, Stephanie Ludi, Taneisha Lee, Tom McKlin
Proceedings of the ACM Interaction Design and Children Conference (IDC), 2026

Awards & Service

AI Child Safety Lab Fellowship Recipient (2026)
CRIDC Research Conference Award Recipient, Georgia Institute of Technology (2025)
Invited Talks: Harvard University (2026), Georgia Institute of Technology (2025)
Area Chair for DIS 2026 (Works-in-Progress Track)
Session Chair for ACL 2026 (NLG + RAG + Efficiency Track)
Reviewer for CHI, DIS, FAccT, AMIA, C&C, NeurIPS, SIGCSE TS, and CogSci (2025, 2026)
Co-founder, Deeproject AI · Quadrant-i Startup Grant Recipient, Georgia Institute of Technology (2025, 2026)

Contact

sding84@gatech.edu