Safety refers to the measures and considerations taken to ensure that the outputs of the generative AI models are accurate, reliable, and contextually appropriate for their intended applications. This includes ensuring that the content generated in sensitive fields such as healthcare and law enforcement adheres to ethical standards, maintains user trust, and mitigates risks associated with misinformation or misuse. Safety involves implementing safeguards to prevent harmful or misleading outputs and ensuring the responsible use of AI technologies across various modalities.

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Introducing the Trustworthy Generative AI Project: Pioneering the Future of Compositional Generation and Reasoning

We are thrilled to announce the launch of our latest research initiative, the Trustworthy Generative AI Project. This ambitious project is set to revolutionize how we interact with multimodal content by developing cutting-edge generative models capable of compositional generation and reasoning across text, images, reports, and even 3D videos.