A new space is emerging at the intersection between the expansion of AI algorithms in organizations and public concerns about private data and the lack of transparency in algorithms. These are two powerful trends that are starting to collide. So this opens up a space for research and innovation on approaches, methodologies, and tools that will marry the two. It is about freeing up more data for research and filling the "knowledge gap" in many disciplines, while ensuring a high level of protection for personal or sensitive data, and guaranteeing the quality and transparency of data science work. A huge and exciting challenge! The Labelia Labs association has therefore set itself the mission of developing the positive impacts of Data Science by equipping and promoting collaborative, responsible and trustworthy approaches.