Avijit Ghosh


Northeastern University Interdisciplinary Science & Engineering Complex (ISEC)

805 Columbus Ave

Boston, MA 02120

Dr. Avijit Ghosh is a Research Data Scientist at AdeptID and 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 several research papers in top ML and AI Ethics venues, reviewed for many of these venues, and organized workshops as a member of QueerInAI. His work has been covered in the press, including articles in the New York Times, Propublica, Wired, and the MIT Tech Review. Dr. Ghosh has been an invited speaker at conferences and panels as a Responsible AI expert, 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 influencing Facebook to remove their biased ad targeting algorithm.

View my CV here.


Jan 23, 2024 “Perceptions in pixels: analyzing perceived gender and skin tone in real-world image search results” has been accepted as a full paper at WWW 2024! Congratulations to my co-authors Jeffrey Gleason and Dr. Christo Wilson.
Jan 12, 2024 I had the distinct honor of moderating and participating in a panel of experts, talking to Congressional staffers and cybersecurity professionals, at the AI Vulnerability Reporting event organized by Hackers on the Hill (HotH), with support from AI Village and AI Vulnerability Database/ARVA!
Oct 12, 2023 I was featured on IndiaTimes, where I talked about India-specific issues that Queer people might face in the current landscape of generative AI.
Aug 10, 2023 I was excited to be involved with the AI Village DC and partners at DEF CON 2023 to help organize the largest-ever public Generative AI Red Teaming challenge!. Myself, along with several other attendees and organizers were mentioned in the New York Times and Forbes!
Jun 15, 2023 “Queer In AI: A Case Study in Community-Led Participatory AI” received BEST PAPER award at ACM FAccT 2023! Congratulations QueerInAI!
May 5, 2023 Paper: “When Fair Classification Meets Noisy Protected Attributes” accepted at AIES 2023!
Apr 10, 2023 Two CRAFT proposals: “Towards an India-first Responsible AI research agenda”, and “Humanitarian AI for the Global South” accepted at ACM FAccT 2023!
Apr 7, 2023 Paper: “Queer In AI: A Case Study in Community-Led Participatory AI” accepted at ACM FAccT 2023!
Mar 12, 2023 I’m speaking at SXSW 2023 in Austin! Talk title: Can There Be AI Art Without An Artist?

Highlighted Publications

  1. SIGIR
    When Fair Ranking Meets Uncertain Inference
    Avijit Ghosh, Ritam Dutt, and Christo Wilson
    In Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval, 2021
  2. AIES
    Faircanary: Rapid continuous explainable fairness
    Avijit Ghosh, Aalok Shanbhag, and Christo Wilson
    In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 2022
  3. FAccT
    Subverting Fair Image Search with Generative Adversarial Perturbations
    Avijit Ghosh, Matthew Jagielski, and Christo Wilson
    In 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022
  4. AIES
    When Fair Classification Meets Noisy Protected Attributes
    Avijit Ghosh, Pablo Kvitca, and Christo Wilson
    arXiv preprint arXiv:2307.03306, 2023
The best way to reach me is via email. I am also frequently active on Twitter.