Deception Induction Framework

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Natural Induction Frameworkframework0.817
• AI Deceptionconcept0.766
  Central problem the paper addresses: AI systems producing misaligned outputs or behaviors that mislead users or other agents
• Deception correction via featuresconcept0.755
  Using SAE features to detect and steer the model away from untruthful responses.
• Apparent Deceptionconcept0.754
  A dialogue agent behaving comparably to deliberate deception by role-playing a deceptive character, without literal intentions
• Model Deceptionconcept0.752
  LLM behavior of generating falsehoods; the multi-dimensional truth subspace raises new risks for subtle manipulation
• Fact-Based Deception Under Coercive Circumstancesframework0.745
  First experimental paradigm inducing and detecting verifiable lies under external coercion using threat-based prompts
• Genie AI frameworkframework0.738
  Bostrom's category of AIs that produce desired results given commands but do not act autonomously.
• Lying and Deception Evaluationmethod0.738
  Sampling responses to direct questions about model views to measure rate of deceptive responses