AI Documentation

AI documentation focuses on creating comprehensive and standardized records of AI models and their associated data, aiming to improve transparency, accountability, and trust. Current research emphasizes automated generation of documentation using large language models, analyzing existing documentation practices to identify gaps and biases, and exploring the effectiveness of certification labels in communicating trustworthiness to end-users. This work is crucial for responsible AI development, enabling better understanding and evaluation of AI systems and ultimately fostering more ethical and reliable applications.