Description: Holistic evaluation is a comprehensive approach that considers all aspects of a system or process, rather than focusing solely on isolated parts. This method seeks to understand how different dimensions of a system interact with each other and how these interactions affect overall performance. In the context of artificial intelligence (AI), holistic evaluation involves analyzing not only the accuracy and effectiveness of algorithms but also their transparency, ethics, and the social impact they may have. This approach is crucial to ensure that AI systems are responsible and fair, minimizing biases and promoting equity. Holistic evaluation is based on the premise that complex systems, such as AI, cannot be fully understood through fragmented analysis. Therefore, a broader perspective is required that encompasses technical, ethical, and social factors, ensuring that decisions made in the development and implementation of technology are informed and responsible.
