When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm

1. 1Identify potential safety risks associated with multimodal large language models
2. 2Assess the trade-off between semantic understanding and safety risks
3. 3Develop strategies to mitigate safety risks while maintaining model performance

AI engineers and researchers working on multimodal large language models need to consider the potential safety risks, while product managers and entrepreneurs should be aware of the implications for their applications and users

💡 The increased semantic understanding of multimodal large language models can also increase safety risks

🚨 Enhanced semantic ability in MLLMs may introduce new safety risks in image generation #AI #Safety