What information does the EU AI Act require to be accessible to users and stakeholders?

The EU AI Act emphasizes the importance of transparency in the development and deployment of AI systems, giving priority to data governance practices as part of its regulatory framework. By requiring data governance practices to be accessible to users and stakeholders, the Act ensures that individuals and organizations involved can understand how data is collected, processed, and managed within AI systems. This includes information on data quality, data management processes, and compliance with privacy regulations, which fosters trust and accountability in AI technologies.

While technical specifications might provide some insights into the functioning of AI systems, they do not capture the broader context of data usage and governance, which is critical for ethical AI development. Financial disclosures, although important in other domains, do not specifically address the user and stakeholder needs directly related to AI governance. User demographics, while helpful for understanding market segments or user engagement, do not pertain to the operational standards or integrity of data handling practices within AI systems. Thus, the focus on data governance practices aligns directly with the EU AI Act's objectives of promoting responsible and transparent use of AI technologies.