Description: The Transparency Framework is a structured approach that seeks to ensure transparency in data governance practices, especially in the context of explainable artificial intelligence (AI). This framework focuses on the need for organizations to be clear and open about how they collect, manage, and use data, as well as the algorithms they apply in their AI systems. Transparency is fundamental to building trust among users and stakeholders, allowing them to understand how automated decisions are made and how their personal data is handled. An effective transparency framework includes clear policies, accessible documentation, and accountability mechanisms, enabling organizations to not only comply with regulations and standards but also to foster a culture of ethics and responsibility in technology use. This approach benefits organizations by mitigating legal and reputational risks while empowering users by providing them with information about their rights and the use of their data. In a world where AI and data analytics are increasingly prevalent, the Transparency Framework becomes an essential tool to ensure that technological innovation is carried out responsibly and ethically.
