Seunghwan Cho

Papers

Total Citations

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About

Seunghwan Cho is a leading researcher at the intersection of artificial intelligence and software engineering, with a primary focus on trustworthy AI software development and quality assurance. His most influential work introduces a pioneering maturity model for trustworthy AI software development, providing a structured framework to assess and enhance the reliability, fairness, and transparency of AI systems. This contribution is particularly vital as AI becomes embedded in critical domains like finance, medicine, robotics, and autonomous driving, where traditional software paradigms fall short. Cho’s research addresses the unique challenges of defining and validating AI behavior, offering practical guidelines for developers and organizations striving to build ethical and robust AI solutions. With his 2023 paper already garnering 9 citations, his work is rapidly gaining recognition for its timely and actionable insights. Cho’s achievements position him as a key voice in shaping the future of responsible AI engineering, making his research essential reading for students and practitioners navigating the complexities of AI software development.