AI Interface Engineering: Bridging Machine Learning and User Experiences

Artificial intelligence is rapidly transforming the ways in which humans interact with digital systems, redefining industries, institutions, and everyday life. As machine learning technologies become deeply embedded across sectors such as finance, healthcare, education, cybersecurity, governance, and business intelligence, the design of effective interfaces has emerged as a critical determinant of technological success. AI systems are no longer evaluated solely on computational efficiency or predictive power; rather, their true value increasingly depends on usability, trustworthiness, interpretability, fairness, and user-centered integration. This book, AI Interface Engineering: Integrating Machine Learning, User Experience, and Human-Centered Design, addresses this urgent and evolving need by offering a multidisciplinary exploration of how intelligent systems can be designed to optimize human–AI interaction. The volume brings together diverse perspectives from researchers and practitioners across fields to examine the theoretical, methodological, ethical, and practical dimensions of AI interface engineering.