Three final-year students from the Information and Communication Engineering (ICE) program successfully presented their senior research project at the International Electrical Engineering Congress 2026.

Three final-year students from the Information and Communication Engineering (ICE) program at the International School of Engineering successfully presented their senior research project at the International Electrical Engineering Congress 2026, an international conference held in Pattaya and jointly organized with the IEEE Thailand Section. The congress brings together researchers, engineers, and industry professionals to share advances in electrical and digital technologies.

The students—Parm Suksakul, Nathan Kittichaikoonkij, and Nakhin Polthai—presented their research titled “Understanding Human-in-the-Loop Governance in AI Application Development: Empirical Themes and an Analytic Three-Pillar Model.” The project is conducted under the supervision of Dr. Aung Pyae, a lecturer in the ICE program.

The study examines how organizations maintain effective human oversight as artificial intelligence becomes more embedded in operational decision-making. Drawing on qualitative data from a diary study of a production customer-support chatbot and interviews with AI practitioners from academia and industry, the research identifies key patterns in how human roles, responsibilities, and collaboration with AI systems are structured throughout the development and deployment lifecycle.

Based on these findings, the research proposes a three-pillar framework for operationalizing Human-in-the-Loop governance in real-world AI systems. The framework highlights three core elements—authority, traceability, and lifecycle gates—to support clear decision responsibility, transparent documentation, and structured checkpoints where human oversight is integrated into the AI lifecycle.

Grounded in observations from an enterprise customer-support environment, the study offers practical insights for organizations seeking to deploy AI responsibly while maintaining human accountability. Presenting this work at iEECON 2026 represents an important academic milestone for the students and reflects the ICE program’s commitment to advancing research in responsible AI development and human-centered technology. The team also gratefully acknowledges the support of the International School of Engineering (ISE) for providing funding that enabled their participation in the conference.