Best Paper Award 2025

One of the Dr. Chowdhury’s co-authored paper, “Trustworthy AI: AI developers’ lens to implementation challenges and opportunities,”  has received the 2025 Best Paper Award from Data and Information Management.

Congratulations to the lead author, Carter Cousineau, and co-author Rozita A. Dara for this recognition. The publication came out of a project of Rozita Dara’s lab, AI for Food.

This paper advances the discussion of trustworthy AI from high-level principles to the realities of AI system development and organizational implementation. From the perspective of AI developers, it identifies key barriers such as fragmented global regulations, inconsistent definitions, limited engineering tools, and gaps in implementation standards. It also brings together governance mechanisms, role responsibilities, development processes, organizational culture, and data infrastructure into a unified framework for understanding how trustworthy AI can move from theory into practice.

Thanks to the editorial boards of the Data and Information Management, a journal with an impact factor of 8.3, and we hope this work contributes to ongoing efforts to build AI systems that are responsible, transparent, and trustworthy in real-world settings.