Abhijnan Chakraborty

Dr. Abhijnan Chakraborty

অভিজ্ঞান চক্রবর্তী | अभिज्ञान चक्रबर्ती

Pronounced as "Abhigyan". If difficult, call me "Abhi".

Assistant Professor and TBO Group Faculty Fellow, Dept. of Computer Science & Engineering | Associate Faculty, School of Artficial Intellegence, IIT Delhi, India.

Research Area: Responsible AI (spec. Algorithmic Fairness), Online Social Networks, AI for Social Good, AI and Law

About Me

I am an Assistant Professor and TBO Group Faculty Fellow in the Department of Computer Science and Engineering at Indian Institute of Technology (IIT) Delhi. I am also closely associated with the newly formed School of Artificial Intelligence. Before IIT Delhi, I have worked for 2.5 years at the Max Planck Institute for Software Systems (MPI-SWS) as a post-doctoral researcher. My PhD was from Indian Institute of Technology (IIT) Kharagpur, where I was jointly advised by Prof. Niloy Ganguly from IIT Kharagpur and Prof. Krishna Gummadi from MPI-SWS. During PhD, I was awarded the prestigious Prime Minister's Fellowship for Doctoral Research and Google India PhD Fellowship. I have also worked at Microsoft Research for two years.

Research Interests

My research interests fall under the broad theme of Computing and Society, spanning the research areas of Social Computing, Information Retrieval, Legal Analytics, Computational Journalism and Fairness in Algorithmic Decision Making. The problems I study usually have two distinct aspects: an algorithmic aspect and a societal aspect. A common thread in my research lies in collecting and analyzing large scale data from online systems to understand whether there is any cause for concern, and then develop mechanisms to eliminate or reduce the impact. My research agenda is inherently interdisciplinary, and therefore, the tools and theories that I often use in my works come from machine learning, network science, media studies, computational social choice, social welfare and behavioral economics.

Latest News

July 21: Panelist @ Indo-U.S. Science and Technology Forum's Roundtable on Trustworthy AI

I am a panelist on the roundtable on "Principles of Trustworthy AI: Comparing Western and Non-Western Conceptions of Fairness and AI Ethics" organized as part of the U.S.-India Artificial Intelligence (USIAI) Initiative by Indo-U.S. Science and Technology Forum.

Website


June 21: Area Chair @ EAAMO 2021

I am serving as an area chair at the newly launched ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization.

Conference Website


Feb 21: Program Committee Member @ AIES 2021

I am serving in the program committee of the AAAI/ACM Conference on AI, Ethics, and Society.

Conference Website


Jan 21: Organizing ACM Winter School on FAccT AI

We are organizing ACM India Winter School on Fairness, Accountability and Transparency in Artificial Intelligence. We are grateful to IBM Research India for kindly sponsoring the school.

School Website


Nov 20: Organizing FILA 2020 colocated with IEEE BigData 2020

We are organizing an international workshop on Fair and Interpretable Learning Algorithms (FILA) in conjuction with the IEEE BigData Conference 2020.

Workshop Website


Sep 20: Area Chair @ FAccT 2021

I am serving as an area chair at the ACM Conference on Fairness, Accountability, and Transparency.

Conference Website


Aug 20: Program Committee Member @ WWW 2021

I am serving in the program committee of The Web Conference.

Conference Website