AI System Detects Social Norm Violations
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Summary: A pioneering AI system successfully identifies violations of social norms. Utilizing GPT-3, zero-shot text classification, and automatic rule discovery, the system categorizes social emotions into ten main types. It analyzes written situations and accurately determines if they are positive or negative based on these categories.
This initial study offers promising evidence that the approach can be expanded to encompass more social norms.
Key Facts:
- The AI system uses ten categories of social emotions to identify violations of social norms.
- The system has been tested on two large datasets of short texts, validating its models.
- This preliminary work, funded by DARPA, is seen as a significant step in improving cross-cultural language understanding and situational awareness.
Source: Ben-Gurion University of the Negev
A researcher at Ben-Gurion University of the Negev has designed an AI system that identifies social norm violations.
The DARPA-funded project is one of the first to tackle the automatic identification of social norm violations. While many social norms exist worldwide, social norm violation boils down to only a few general categories.
Read more at https://neurosciencenews.com/social-norms-ai-23667/
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