Alek, writing on the Alignment Forum, outlines five methods for assessing the effectiveness of training-based control measures in AI. These methods range from direct production testing and evaluation on synthetically created misaligned AI models to using more realistic, albeit slightly manipulated, training processes. The post also explores testing techniques on analogous forms of AI misalignment, such as sycophancy or reward hacking, and abstract analogies, aiming to glean insights into control mechanisms even when the misalignment type differs from the primary concern. AI
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RANK_REASON The article discusses research approaches for evaluating AI safety training methods.