Description: Human-centered metrics are evaluation tools that focus on measuring the impact of artificial intelligence (AI) systems on human users. These metrics seek to understand how the decisions and actions of AI systems affect the experience, satisfaction, and well-being of individuals. Unlike traditional metrics that may focus on technical accuracy or efficiency, human-centered metrics consider factors such as transparency, fairness, accessibility, and trust. This approach is essential to ensure that AI is not only effective from a technical standpoint but also ethical and responsible in its interaction with users. By integrating the human perspective into the evaluation of AI systems, a more inclusive development is promoted, and the risks of bias and discrimination are minimized. In a world where AI is increasingly present in various aspects of life, these metrics are essential for building technologies that respect and value human dignity, fostering a healthier relationship between machines and people.
