Bangladeshi team earns spotlight at ICML for AI governance research

A research team from Shahjalal University of Science and Technology has secured a spotlight presentation at the International Conference on Machine Learning (ICML) -- one of the world’s most competitive forums in artificial intelligence.

The paper, “Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Laws,” is scheduled to be presented on May 11 in South Korea's Seoul.

Azmine Toushik Wasi, Rafia Islam, Mahfuz Ahmed Anik, Md Manjurul Ahsan, Taki Hasan Rafi, and Dong-Kyu Chae are the authors of the paper.

The study highlights fragmentation in global AI regulation, noting that frameworks such as the EU AI Act and the NIST AI Risk Management Framework apply differing standards for safety and compliance.

To address this, the authors propose ISO-like interoperability protocols and introduce the concept of “AI nutrition labels” -- machine-readable summaries capturing metrics such as bias, energy use, and data provenance. The approach aims to streamline cross-border evaluation of AI systems and reduce duplication in regulatory processes.

The team represents multiple institutions, including Sust, Independent University, Bangladesh, and Hanyang University, with Md Manjurul Ahsan serving as research supervisor.

Spotlight papers at ICML are selected for their potential impact, making this one of the few such recognitions from Bangladesh and the first position paper from Sust to receive this distinction.