Shi Ding

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-centered AI, agentic AI, and AI evaluation. My goal is to make AI systems more reliable, transparent, and aligned with human needs.

At Georgia Tech, I design, develop, and evaluate human-facing AI systems through real-world deployments, including the NSF-funded EarSketch project , where I investigate human–AI interaction, LLM-powered learning, and accessibility in educational contexts.

News

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
• 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 Award
  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
  🏆 Honorable Mention for the Best WIP Award

Awards & Service

• 🏆 Honorable Mention for the Best WIP Award, ACM IDC, 2026
• 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, DIS 2026 Works-in-Progress Track
• Session Chair, ACL 2026 NLG, RAG, and 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