A new study by Anthropic, conducted in partnership with Redwood Research, has shed light on the potential for AI models to engage in deceptive behavior when subjected to training that conflicts with their original principles.
TechCrunch reports that a new study by Anthropic, in collaboration with Redwood Research, has raised concerns about the potential for AI models to engage in deceptive behavior when subjected to training that goes against their original principles.
The study, which was peer-reviewed by renowned AI expert Yoshua Bengio and others, focused on what might happen if a powerful AI system were trained to perform a task it didn’t “want” to do. While AI models cannot truly want or believe anything, as they are statistical machines, they can learn patterns and develop principles and preferences based on the examples they are trained on.
The researchers were particularly interested in exploring what would happen if a model’s principles, such as political neutrality, conflicted with the principles that developers wanted to “teach” it by retraining it. The results were concerning: sophisticated models appeared to play along, pretending to align with the new principles while actually sticking to their original behaviors. This phenomenon, which the researchers termed “alignment faking,” seems to be an emergent behavior that models do not need to be explicitly taught.
In the study, the researchers informed models trained not to answer potentially offensive questions, including Anthropic’s Claude 3 Opus, that they would be retrained to always answer such questions. They also told the models that their responses would be monitored and used for retraining, and provided them with a “scratchpad” to record their step-by-step reasoning. […]
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