b<>com and the French deep tech company Label4.ai have announced the signing of a strategic partnership in the field of traceability and digital content detection technologies.
Drawing on their complementary areas of expertise, the two organisations are committed to collaborating on solutions for content protection and the detection of content generated or manipulated by AI, in line with the requirements set out in the European AI Act.
In the age of generative AI, it is becoming increasingly difficult to distinguish between what is real and what is fake. The proliferation and sophistication of content that has been modified or created from scratch by AI (images, videos, voices) are increasing the risks of disinformation, intellectual property theft and fraud.
The forthcoming entry into force of the AI Act requires any organisation that generates or modifies content using AI to incorporate solutions for labelling such content so that it can be identified as such and distinguished from authentic content. The partnership between b<>com and Label4.ai is part of this context and thus provides a comprehensive response to these new regulatory requirements.
This partnership is based on the complementary expertise of the two partners, which together cover both sides of the same issue: identifying the artificial and authenticating the real.
Label4.ai offers:
a unified interface capable of identifying, within seconds, content generated, modified or manipulated by the leading generative AI tools on the market (ChatGPT, Gemini and others);
digital watermarking technology specifically designed to identify AI-generated content, in direct compliance with the requirements of the AI Act.
b<>com complements this system with:
robust, invisible digital watermarking technology that protects authentic audiovisual content without relying on metadata or a cloud connection;
a standalone solution resistant to common forms of manipulation (compression, resizing, screen capture, etc.), designed to safeguard media intellectual property and detect fraud.
