Identify AI content: obligations and impact on companies
The EU AI Regulation (AI-VO) sets out clear obligations for the labelling of content generated by AI. Article 50 of the regulation obliges providers and operators of AI systems to clearly identify this content. The labelling is intended to create transparency and help users to recognize the origin of content. This is not only about text, but also about images, videos and other digital content that AI systems generate. The obligation applies both to AI systems that generate content directly and to systems that edit or redistribute content. The exact form of labelling is not specified in the regulation, but it is recommended that labelling be as clear as possible in order to avoid misunderstandings.
The importance of labelling is underlined by the problem of invisible watermarks. Some AI systems insert invisible markings into generated text to mark the origin. However, such watermarks may not always remain invisible, and they may also raise legal or ethical issues. The transparency of content is therefore not only a technical but also a legal and ethical duty. Companies need to be aware that disseminating AI-generated content without labeling can have legal consequences.
AI technologies are now firmly anchored in many industries. They help with software development through integration with tools such as Jira, Git, Slack and CI/CD. They enable more efficient work and increase productivity. At the same time, the use of such technologies also requires greater responsibility. Companies must ensure that AI-generated content is labeled correctly to protect users’ rights and minimize legal risks.
## What does this mean for your company? Your organization is required to clearly label AI-generated content to ensure transparency and avoid legal risks. Whether it is text, images or videos that AI generates, you as a provider or operator of the technology must ensure the labeling. It is important to make the labelling as clear as possible in order to avoid misunderstandings and to maintain the trustworthiness of the content.
## How ISN/xynap supports this xynap’s AI agents and infrastructure enable secure and transparent use of AI technologies. They help companies to correctly label AI-generated content and meet the legal requirements of the AI-VO.