Safer and Multimodal: Responsible AI with Gemma

ShieldGemma 2, the latest safety content classifier model built on the 4 billion parameter Gemma 3, has been introduced to enhance the detection of harmful content in both synthetic and natural images. Building on the earlier version, ShieldGemma 2 expands its capabilities beyond text to address safety in multimodal models, tackling challenges associated with diverse and nuanced imagery styles. It is designed to minimize risks in areas such as sexually explicit content, dangerous content, and violence, serving as both an input and output filter for vision language models and image generation systems. The model supports popular frameworks like Transformers, JAX, and Keras, and encourages community collaboration to advance industry safety standards. ShieldGemma 2 can be downloaded from platforms like Hugging Face and Kaggle, and a technical report with evaluation results and third-party benchmarks is forthcoming.

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