Inclusion Requirement

Inclusion requirements research focuses on defining and fulfilling diverse needs within various systems, from AI algorithms to software and robots. Current research emphasizes methods for automatically generating and verifying these requirements, employing techniques like reinforcement learning, generative adversarial networks, and large language models to analyze natural language specifications and generate corresponding models or test cases. This work is crucial for ensuring fairness, safety, and user acceptance in increasingly complex technological systems, impacting fields ranging from software engineering and robotics to AI ethics and regulatory compliance.