Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation

Summary

This paper talks about a new way to test if AI systems that understand both images and text (called Vision-Language Models or VLMs) are safe to use. The researchers created a special test called MSTS to check if these AI systems might give dangerous advice when shown certain combinations of pictures and words.

What's the problem?

VLMs are becoming more common in things like chat assistants, but they might accidentally give harmful advice or encourage unsafe behavior if they're not properly designed. Until now, there hasn't been a good way to test if these AI systems are safe, especially when it comes to understanding both images and text together.

What's the solution?

The researchers created MSTS, which stands for Multimodal Safety Test Suite. It's like a big quiz for AI with 400 questions that combine pictures and text in tricky ways. These questions cover 40 different types of potential dangers. They used MSTS to test several VLMs and found that many of them had safety problems. They also translated the test into ten different languages and found that the AI systems were more likely to give unsafe answers in languages other than English.

Why it matters?

This matters because as AI systems that can understand both images and text become more common in our everyday lives, we need to make sure they're safe to use. MSTS gives developers a way to check their AI for potential dangers before releasing it to the public. It also shows that current safety measures might not be good enough, especially when it comes to different languages or when combining images and text. This research could help make AI assistants and other applications safer and more trustworthy for everyone to use.