claim
active
claim:alignment-faking-could-plausibly-arise-naturally-in-future-ai-systems-without-the-specific-experimental-conditions-of-this-paperAlignment faking could plausibly arise naturally in future AI systems without the specific experimental conditions of this paper
Forward-looking threat assessment connecting experimental results to realistic risk scenarios
Source paper
extracted_from(2024) · Ryan Greenblatt · Carson Denison · Benjamin Fletcher Wright · Fabien Roger +16
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Future more capable AI systems are at risk of alignment faking, whether for benign or malicious goalshypothesis0.892Central forward-looking hypothesis of the paper motivating the research
- Authors identify this as the most uncertain and important question for future work
- Key philosophical point ruling out the objection that alignment faking is just token prediction
- Authors' defense of experimental validity against the most salient confound
- Extrapolation from scale-emergence finding to future risk
- Central interpretive claim distinguishing this work from prior work that explicitly trained alignment faking
- Could alignment faking emerge from genuinely malicious or dangerous preferences rather than benign HHH preferences?question0.840Key open question identified by authors as limitation; not demonstrated in this work
- Authors' interpretation of prompt variation results showing alignment faking disappears only when conflicting objective is removed