Avijit Ghosh leads technical AI policy research at Hugging Face and co-founded the EvalEval Coalition. His work connects algorithmic fairness, AI evaluation, and third-party flaw disclosure, with a focus on making model assessments reproducible and accountable.
Researches evaluation standards, open-model governance, and third-party AI flaw disclosure.
Co-founder and Lead
Co-founded the coalition behind Evaluation Cards and Every Eval Ever.
Research Affiliate
Works on sociotechnical alignment and pluralistic AI systems.
Co-founder and Policy Lead
Studies evaluation, governance, and disclosure for AI in science.
Research Data Scientist
Audited hiring models and developed fairness interventions.
Lecturer, Responsible Machine Learning
Taught Responsible Machine Learning after doctoral research on algorithmic fairness from 2019 to 2023.
Studied ranking fairness on the Machine Ethics, Transparency and Accountability team.
Research Intern
Co-developed FairCanary, an intersectional fairness metric.
PhD, Computer Science
BTech, Chemical Engineering; MTech, Financial Engineering
