Requirement Based Roadmap

Requirement-based roadmaps guide the development of complex systems by systematically identifying and addressing necessary functionalities and information needs. Current research focuses on applying this approach across diverse fields, leveraging techniques like deep learning (including generative adversarial networks and transformers), evolutionary computation, and digital twin technologies to optimize model design and deployment. These roadmaps are crucial for ensuring the responsible and effective development of AI systems, particularly in high-stakes domains like healthcare, manufacturing, and autonomous systems, by promoting transparency, explainability, and alignment with human values.