Description: Transparency Standards in the context of Explainable AI refer to a set of established criteria that artificial intelligence systems must meet to be considered transparent and explainable. These standards aim to ensure that the decision-making processes of algorithms are understandable to users and stakeholders. Transparency implies that users can comprehend how and why certain decisions are made, which is crucial for fostering trust in technology. Explainability, on the other hand, refers to the ability to break down and communicate the results of an AI model in a way that is accessible and understandable, even for those without technical training. These standards are especially relevant in critical applications, such as healthcare, criminal justice, and finance, where automated decisions can significantly impact individuals’ lives. In summary, Transparency Standards are essential to ensure that AI operates ethically and responsibly, promoting an environment where users can question and understand the decisions that affect them.
