AI Accountability
AI Accountability refers to the mechanisms and frameworks put in place to ensure that artificial intelligence systems are developed, deployed, and used ethically and responsibly. This involves considerations such as transparency, fairness, data privacy, and avoiding bias. In the context of Explainable AI, AI Accountability focuses on the ability to provide clear explanations for AI decision-making processes, enabling stakeholders to understand, scrutinize, and hold the systems accountable for their actions. This aligns with the broader goals of Technology, Artificial Intelligence, and Artificial Intelligence Algorithms, which aim to create intelligent systems that are not only effective but also trustworthy and aligned with human values.