Research Theme: Enterprise Knowledge Access

This research theme focuses on the study of organizational aspects of AI-mediated knowledge work and development of new methods for structured enterprise knowledge modeling.

Publications

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

Learning to Extract Structured Entities Using Language Models

Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, and Bhaskar Mitra
In proc. EMNLP, 2024
Publication | 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

DiSK: A Diffusion Model for Structured Knowledge

Ouail Kitouni, Niklas Nolte, James Hensman, and Bhaskar Mitra
Preprint, 2023
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