AI-Generated Visual Content: Solving the Trust Issue with Invisible Watermark Technology

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Technologie de suivi des images

February 22, 2023

AI-Generated Visual Content: Solving the Trust Issue with Invisible Watermark Technology

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Explore the trust challenges posed by generative AI content and how invisible watermarking technology offers a seamless solution to safeguard authenticity and ownership in the digital realm.

The trust issue with generative AI content

With the rapid advancements in the field of Artificial Intelligence, generative models have become extremely efficient in creating high-quality visual content. From realistic images to animations, generative AI has opened up a new world of possibilities. However, with these advancements, there is a growing concern about the trustworthiness of the generated content.

The problem lies in the fact that the generated content could easily be misused, manipulated, or even claimed as original by others. This can lead to various trust issues, such as intellectual property rights, brand reputation, and authenticity. In a recent survey, it was found that over 86% of businesses face challenges in protecting their digital assets and preventing the misuse of their content.

Screenshot_2023_01_17_at_09.55.27
An image created by Stable Diffusion showing a recreation of Getty Images’ watermark. Image: The Verge / Stable Diffusion

The perfect match with invisible watermarking technology

This is where invisible watermarking technology comes into play. It is a technology that embeds a digital signature or watermark into the digital content, which remains hidden to the human eye but can be easily detected by software.
Invisible watermarking technology would be a perfect match to address the trust issue with generative AI visual content. By embedding a digital signature into the generated content, it becomes possible to track the origin and authenticity of the content. This can help establish ownership and prevent any unauthorized use or manipulation of the content.

Invisible watermarking technology can be applied to a wide range of generative AI visual content, including images, videos, and animations. The watermark can be embedded into the content during the generation process, making it a seamless and non-intrusive solution.

In conclusion, invisible watermarking technology provides a powerful solution to the trust issue with generative AI visual content. By establishing ownership and authenticity, it helps maintain the trust and credibility of the generated content. With the increasing use of generative AI in various industries, and the growing concern over the protection of digital assets, invisible watermarking technology is set to play a critical role in maintaining the trust and credibility of the generated visual content.

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