Research Theme: AI & Society

This research theme focuses on the inter-disciplinary study of the sociotechnical impact of AI technologies, including allocative and representational harms from AI, how AI technologies concentrate power and marginalize communities, and the impact of AI on worker power, democracy, and ecology.

Keynotes, invited talks, and lectures

Sociotechnical Implications of Generative AI for Information Access

(Re)defining Responsible AI workshop, MILA
Montreal, Canada, October 2024
SlideShare | PPT

Invited panels

Global South in AI Governance

With Cecil Abungu and Jonas Kgomo
Next Gen AI Forum: Preparing for Tomorrow's AI Governance Today (A Pre-Summit Convening for the India AI Impact Summit 2026), McGill
Organized by Encode Canada
Montréal, Canada, January 2026

AI Ethics and the Tech Industry

With Stefania Pecore, Florian Carichon, and Lilia Jemai
McGill University
Organized by McGill Computer Science Undergraduate Society (CSUS) and Encode Canada
Montréal, Canada, November 2025

To Use Generative AI or Not To Use It

With Mia Shah-Dand, Hessie Jones, and Beatriz González Mellídez
Women in AI Ethics Plus (WAIE+) Debate
Online, August 2025
Recording

Invited participation

Future of Information Retrieval Research in the Age of Generative AI (report), by Computing Community Consortium, July 2024

Workshop organization

VulGen: International Workshop on Vulnerabilities in Generative Systems for Information Retrieval, SIGIR, July 2026

Publications

Human-Centred AI Pipelines: Designing a Platform for Engaging Communities Meaningfully in AI Data Practices to Improve Disability Representation in Image Generation Models

Anja Thieme, Rita Faia Marques, Martin Grayson, Sidhika Balachandar, Cameron Tyler Cassidy, Madiha Zahrah Choksi, Camilla Longden, Reeda Shimaz Huda, Nicholas Ileve Kalovwe, Christina Mallon, Courtney Mansperger, Daniela Massiceti, Bhaskar Mitra, Ruth Mueni Nzioka, Ioana Tanase, Yuzhe You, and Cecily Morrison
In proc. ACM CHI, 2026

Sociotechnical Implications of Generative Artificial Intelligence for Information Access

Bhaskar Mitra, Henriette Cramer, and Olya Gurevich
In book "Information Access in the Era of Generative AI" (editors: Chirag Shah and Ryen White), Springer Nature, 2025
Publication | PDF | ArXiv

Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems

Karina Cortiñas-Lorenzo, Siân Lindley, Ida Larsen-Ledet, and Bhaskar Mitra
Preprint, 2024
PDF | ArXiv

A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers

Anna Gausen, Bhaskar Mitra, and Siân Lindley
In proc. ACM FAccT, 2024
Publication | PDF | ArXiv

Co-audit: tools to help humans double-check AI-generated content

Andrew D. Gordon, Carina Negreanu, José Cambronero, Rasika Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson, Advait Sarkar, Stephanie Simmons, Jack Williams, and Ben Zorn
In proc. Workshop on the intersection of HCI and PL (PLATEAU), 2023
Publication | PDF | ArXiv

Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems

Ida Larsen-Ledet, Bhaskar Mitra, and Siân Lindley
In proc. FAccTRec Workshop on Responsible Recommendation, ACM RecSys, 2022
PDF | ArXiv

Bhaskar Mitra | ভাস্কর মিত্র