Description: Transparency in AI refers to the principle of making artificial intelligence systems understandable and their operations visible to users. This concept is fundamental in the development of AI models, as it seeks to ensure that users can understand how and why certain decisions are made. Transparency implies that the algorithms and processes behind AI decisions are accessible and explainable, allowing users to trust the outcomes and comprehend the implications of automated decisions. Explainable AI focuses on breaking down the complex processes of AI into terms that are understandable to humans, thus facilitating the interpretation of results and the identification of potential biases or errors. This approach is not only crucial for user trust but also essential for complying with ethical and legal regulations that require clarity in the use of automated technologies. In a world where AI is increasingly integrated into everyday life, transparency becomes a fundamental pillar to ensure that these technologies are used responsibly and ethically.
