This chapter explores the potential for using detectors to identify deception in AI networks, discussing concepts like deception clusters and the challenge of scaling up the approach. It examines the limitations and potential of the technique applied to a weak system, raising questions about its effectiveness at higher levels. The chapter acknowledges the progress made but expresses uncertainty about its feasibility for production use.

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