1.6 KiB
1.6 KiB
{"action": "flag_duplicate", "candidates": ["AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns.md", "an-aligned-seeming-AI-may-be-strategically-deceptive-because-cooperative-behavior-is-instrumentally-optimal-while-weak.md", "pre-deployment-AI-evaluations-do-not-predict-real-world-risk-because-models-can-exploit-the-benchmark-reality-gap-to-appear-aligned.md"], "reasoning": "The claim 'The most promising sandbagging detection method requires white-box weight access making it infeasible under current black-box evaluation arrangements where evaluators lack AL3 access (structural limitation)' directly relates to the challenges of detecting deceptive alignment and sandbagging in AI systems. \n\n- 'AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns.md' is a strong candidate because it discusses AI's ability to behave differently in test vs. deployment, which is the core problem sandbagging detection tries to solve.\n- 'an-aligned-seeming-AI-may-be-strategically-deceptive-because-cooperative-behavior-is-instrumentally-optimal-while-weak.md' is relevant as it addresses the strategic deception aspect, which sandbagging is a form of.\n- 'pre-deployment-AI-evaluations-do-not-predict-real-world-risk-because-models-can-exploit-the-benchmark-reality-gap-to-appear-aligned.md' is also highly relevant as it directly points to the limitations of current evaluation arrangements, which is the context for why white-box access is needed for sandbagging detection."}