Tag: AI Accountability

AI Accountability refers to the responsibility of individuals and organizations involved in the development, deployment, and management of artificial intelligence systems to ensure that these systems operate transparently, ethically, and in alignment with societal values and legal standards. This concept encompasses the obligation to address the consequences of AI systems, including bias, fairness, privacy, and security concerns. AI accountability involves monitoring AI behavior, maintaining oversight, and ensuring that stakeholders are held responsible for the actions and decisions made by AI systems. It also emphasizes the importance of creating mechanisms for redress when AI systems cause harm or act inappropriately. The goal of AI accountability is to foster trust and promote the responsible use of AI technologies in society.