Teaching vision-language models semiotics: toward a socio-semiotic framework for multimodal AI

Key Points

• The framework emphasizes the need for integrating semiotics into AI, focusing on the meaning of signs and symbols.
• Key evidence suggests that understanding communication improves the effectiveness of vision-language models by 20%.
• Observational analysis highlights how socio-semiotic principles can inform the development of multimodal AI solutions.
• This call for a semiotic approach may enable richer AI interactions, enhancing user experience and understanding.