Avijit Ghosh

Dr. Avijit Ghosh is an Applied Policy Researcher in the Machine Learning and Society Team at Hugging Face 🤗 and an Associate Researcher in the RIET Lab at the University of Connecticut. Previously, he was a Lecturer in the Khoury College of Computer Sciences at Northeastern University. He works at the intersection of machine learning, ethics, and policy, aiming to implement fair ML algorithms into the real world. He has published and peer-reviewed several research papers in top ML and AI Ethics venues, and has organized academic workshops as a member of QueerInAI. His work has been covered in the press, including articles in The New York Times, Forbes, The Guardian, Propublica, Wired, and the MIT Tech Review. Dr. Ghosh has been an invited speaker as a Responsible AI expert, at events held by organizations such as SXSW, Trustworthy ML Initiative, AI Risk and Vulnerability Alliance, and AI Village. He has also engaged with policymakers, having spoken to US Congressional Staffers and to the UK Government Centre for Data Ethics and Innovation. His research and outreach have led to real-world impact, such as helping shape regulation in New York City and causing Facebook to remove their biased ad targeting algorithm.