Who Owns the Output? Bridging Law and Technology in LLMs Attribution

Understand

Since the introduction of ChatGPT in 2022, Large language models (LLMs) and Large Multimodal Models (LMM) have transformed content creation, enabling the generation of human-quality content, spanning every medium, text, images, videos, and audio.

• The chances offered by generative AI models are endless and are drastically reducing the time required to generate content and usually raising the quality of the generation.
• However, considering the complexity and the difficult traceability of the generated content, the use of these tools provides challenges in attributing AI-generated content.
• The difficult attribution resides for a variety of reasons, starting from the lack of a systematic fingerprinting of the generated content and ending with the enormous amount of data on which LLMs and LMM are trained, which makes it difficult to connect generated content to the training data.