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In today's rapidly evolving landscape of artificial intelligence, a court ruling in Hamburg, Germany has sparked fresh discussions regarding the collection and use of data for AI training. This case not only prompts public reflection on the relationship between AI and copyright but also provides important references for the future legal framework of AI development. The incident began when the non-profit organization LAION downloaded a copyrighted image from an image agency website without authorization. LAION paired this image with relevant descriptions and included it in a project named "LAION-5B".

LAION launched Re-LAION-5B, the world's first AI training dataset that fully removes links to CSAM, aimed at addressing the issue of Child Sexual Abuse Material (CSAM). This dataset has been significantly improved over LAION-5B and is mainly divided into two versions: Re-LAION-5B Research and Research-Safe. A total of 2,236 CSAM links have been removed, including 1,008 from child protection organizations' lists. The dataset contains 5.5 billion pairs of text and images, designed to help

The German research institution LAION has created and released a new dataset, Re-LAION-5B, claiming to have removed links to suspected Child Sexual Abuse Material (CSAM). This dataset is a revised version of the old LAION-5B dataset, incorporating recommendations from the Internet Observation Foundation, Human Rights Watch, the Canadian Centre for Child Protection, and Stanford Internet Observatory. Re-LAION-5B is divided into two versions: Research and Research-Safe, with the latter additionally removing NSFW content. The dataset aims to support

According to a recent report by the international human rights organization Human Rights Watch (HRW), there are numerous unauthorized personal photos of Brazilian children in the training datasets used by some popular AI image generators. This raises serious concerns about children's privacy and safety.

AI organization LAION and leading AI developers suggest that the EU encourage the use of open source AI models. Open source AI models offer greater safety, accountability, replicability, and robustness. LAION has launched the PyTorch codebase OpenLM for training medium-sized language models. The OpenLM model outperforms similar open source models. LAION urges EU regulatory efforts to promote the application of open source AI models.