SEDRD Professor Dr Chowdhury in Capacity Development and Extension is a co-author of the paper, “Trustworthy AI: AI developers’ lens to implementation challenges and opportunities [1],” published by ScienceDirect - Data and Information Management [2] (DIM), which is an interdisciplinary, double-blind peer-reviewed journal that publishes high-quality original research papers in the field of data and information management.

The paper received the 2025 Best Paper Award [3] from ScienceDirect-DIM.  The publication was led by Carter Cousineau and co-authored by Dr. Chowdhury and Rozita Dara, a professor in the School of Computer Science. 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.

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