Service | Avijit Ghosh

Mentorship

Working with students is one of the most rewarding parts of research. Here are the students I have been honored to mentor over the years.

Afifah Kashif — Visiting Graduate Researcher, Pluralistic AI Lab (2026–present). MPhil candidate in Human-Inspired AI, University of Cambridge.
Isabelle Kohout — Visiting Graduate Researcher, Pluralistic AI Lab (2026–present).
Aidan Kierans — Graduate Researcher, RIET Lab (2024–present). Ph.D. student in Computer Science & Engineering, University of Connecticut; co-advised with Prof. Shiri Dori-Hacohen.
Kaley Rittichier — Graduate Researcher, RIET Lab (2025–present). Department of Philosophy, University of Connecticut.

Ryan Lagasse — Undergraduate Researcher, RIET Lab (2024–2025).
Andrew E. Lawrence — Visiting Undergraduate Researcher, RIET Lab (2024–2025). Computer Science, Tufts University.

Pluralistic AI Lab (PAL), University of Connecticut — Co-Founder with Dr. Zhenzhen Qi (2026–present). Researching multi-persona and multi-agent systems that surface diverse and conflicting perspectives, moving beyond single-chatbot interfaces and supporting marginalized communities in democratic deliberation.
Reducing Information Ecosystem Threats (RIET) Lab, University of Connecticut — Co-Advisor (2024–present). Co-advise students with Prof. Shiri Dori-Hacohen on disinformation, weaponized controversy, trust erosion, and sociotechnical AI alignment.
Hugging Science — Co-Founder & Lead, Policy (2025–present). AI-for-Science initiative covering how scientific AI tools are evaluated, governed, and disclosed across astronomy, biology, climate, and materials science.
EvalEval Coalition — Founder & Lead (2024–present). Multi-stakeholder coalition of 500+ members producing research to bring rigor, accountability, and standards to AI evaluations.

ACL Workshop on Evaluating AI in Practice — General Chair
International Conference on Machine Learning (ICML) — Program Committee
ACM Conference on Fairness, Accountability, and Transparency (FAccT) — Program Committee
AAAI Conference on Artificial Intelligence — Program Committee

Workshop on Evaluating AI in Practice, UC San Diego — General Chair
ACM Conference on Fairness, Accountability, and Transparency — Registration Chair
AAAI/ACM Conference on AI, Ethics, and Society — Program Committee
ACM Conference on Fairness, Accountability, and Transparency — Program Committee
Conference on Language Modeling — Program Committee

Evaluating Evaluations: Examining Best Practices for Measuring Broader Impacts of Generative AI — NeurIPS 2024 Workshop — Lead Organizer
AAAI/ACM Conference on AI, Ethics, and Society — Program Committee
Conference on Neural Information Processing Systems — Program Committee
ICWSM: International AAAI Conference on Web and Social Media — Program Committee
The Web Conference — Program Committee
ACM Conference on Fairness, Accountability, and Transparency — Program Committee

SIGIR DEI lunch with speaker panel on disability in computing — Organizer
FAccT CRAFT Workshop on an India-first Responsible AI research agenda — Organizer
FAccTRec: Workshop on Responsible Recommendation — Program Committee
Conference on Neural Information Processing Systems — Program Committee
AAAI/ACM Conference on AI, Ethics, and Society — Program Committee
ACM Conference on Fairness, Accountability, and Transparency — Program Committee
The Web Conference — Program Committee

FAccT CRAFT Workshop on Humanitarian AI for the Global South — Organizer
FAccT CRAFT Workshop on Identifying Queer Harms as a bias bounty with Queer in AI — Organizer
ACM Conference on Fairness, Accountability, and Transparency — Program Committee
AAAI/ACM Conference on AI, Ethics, and Society — Program Committee
Conference on Neural Information Processing Systems — Program Committee
Conference on Empirical Methods in Natural Language Processing — Program Committee

SIGIR Queer in AI social with speaker panel on queer stereotypes in web search — Organizer
Conference on Neural Information Processing Systems — Program Committee