Description: Functional transparency refers to the clarity of the operations of artificial intelligence (AI) systems, which is crucial for ethical accountability. This concept implies that users and stakeholders should be able to understand how and why an AI system makes specific decisions. Functional transparency not only advocates for the disclosure of the algorithms and models used but also for the explanation of the data that feeds these systems and the underlying logics that guide their functioning. This clarity is fundamental to fostering trust in technology, as it allows users to assess the fairness, accuracy, and ethics of automated decisions. Furthermore, functional transparency helps identify and mitigate biases that may arise in AI systems, thus promoting a more responsible and ethical use of these technologies. In a world where AI is increasingly integrated into critical decisions, from hiring to criminal justice, functional transparency becomes an essential pillar to ensure that these tools are used fairly and equitably, protecting the rights of individuals and affected communities.
