AI Evaluations focus on experimentally assessing the capabilities, safety, and alignment of advanced AI systems. These evaluations can be divided into two main categories: behavioral and understanding-based.
(note: initially written by GPT4, may contain errors despite a human review. Please correct them if you see them)
Behavioral evaluations assess a model's abilities in various tasks, such as autonomously replicating, acquiring resources, and avoiding being shut down. However, a concern with these evaluations is that they may not be sufficient to detect deceptive alignment, making it difficult to ensure that models are non-deceptive....