Assessment Checklist

Assessment checklists are structured frameworks designed to systematically evaluate the performance and reliability of various systems, particularly in complex domains like AI and healthcare. Current research focuses on developing checklists tailored to specific applications, such as evaluating the safety of autonomous vehicles, the ethical implications of generative AI in medicine, and the robustness of large language models in mathematical reasoning. These checklists aim to improve transparency, reproducibility, and ultimately, the trustworthiness of research findings and deployed systems, leading to more reliable and responsible technological advancements.