What do System Cards expand upon?

System Cards expand upon the complexity of AI systems that integrate multiple models. They provide a comprehensive overview of how these systems work together, addressing not just individual model performance but also the interactions and implications of using multiple models in a single system. This is crucial as it reflects the real-world scenarios where diverse AI components operate cohesively, influencing overall system performance and ethical considerations. Understanding this complexity helps stakeholders recognize potential challenges and benefits that arise from using integrated AI systems, prompting a more informed approach to deployment and governance.

The other options do not capture the breadth of System Cards. While simple model cards may address the performance of individual models, they lack the depth that System Cards provide in a multi-model context. Basic definitions of AI technology do not delve into the operational intricacies of integrated systems, and summaries of AI use cases without ethical considerations miss critical evaluations of how these systems impact society.