Meta Platforms (META.O) is set to introduce a new invisible watermarking feature for its AI-powered image generation product, imagine with Meta AI chatbot. This move aims to enhance transparency and address concerns about the authenticity of AI-generated content.
The social media giant, which rolled out consumer AI products like photorealistic image bots and smart glasses in late September, sees this feature as an essential step in the evolution of digital content creation and management.
Invisible Watermarking for Trust and Transparency
The invisible watermarking technology, resilient to common image manipulations like cropping and screenshots, will be integrated into imagine in the coming weeks. This will enhance the traceability and accountability of AI-generated images, building trust and transparency within the platform.
Responding to the Rise of AI-Powered Products
Meta’s decision aligns with the growing trend of leveraging large language models for creating innovative AI products. The success of ChatGPT, Microsoft-backed OpenAI’s chatbot, has spurred a wave of companies utilizing these powerful tools to attract investors, drive innovation, and engage users.
Meta AI: Expanding the Potential of AI
Meta AI, built on the powerful Llama 2 language model, represents Meta’s commitment to AI research and development. The company is actively exploring the potential of generative AI, testing over 20 new ways to improve experiences across its platforms like Instagram and WhatsApp.
Expanding Access and Enhancing Search
Meta is expanding access to imagine beyond its chat functionality, making it available in the US and exploring ways to improve search capabilities across its products. This broadens the reach of AI-powered image generation and enhances user experience.
The introduction of invisible watermarking by Meta represents a significant step towards responsible and transparent AI development. As AI technology continues to evolve, such measures are crucial to ensure trust and prevent misuse of AI-generated content.
