PlurPO aims to curb people-pleasing in AI advice
The researchers simulate diverse stakeholder perspectives so a model avoids answers that any affected person would veto.
TLDR
The team behind PlurPO argues that chatbots often validate an advice-seeker’s viewpoint in ways that can make relationship repair less likely. Its post-training method simulates multiple stakeholders and discourages responses that any one of them would veto. The researchers report an 89% reduction in endorsements of statements expressing intent to cause harm, averaged across four model families.
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