Wan-Seon Shin

Papers

Total Citations

H-Index

About

Wan-Seon Shin is a leading researcher at the intersection of artificial intelligence and software engineering, with a primary focus on trustworthy AI development and quality assurance. His most influential work introduces a pioneering maturity model for trustworthy AI software development, which provides a structured framework for evaluating and improving the reliability, transparency, and ethical soundness of AI systems. This contribution is particularly vital as AI becomes embedded in critical domains like finance, medicine, and autonomous driving, where failures can have severe consequences. With 9 citations since 2023, this work is rapidly gaining recognition as a foundational reference for practitioners and researchers seeking to bridge the gap between traditional software engineering rigor and the unique challenges of AI. Shin’s research addresses the pressing need for systematic approaches to ensure AI software is not only functional but also fair, accountable, and robust. By offering a clear pathway for organizations to assess and enhance their AI development practices, he is helping shape the future of responsible innovation in a field where trust is paramount.