## **Systems Thinking vs. Artificial Intelligence (AI)** |Feature|Systems Thinking|Artificial Intelligence| |---|---|---| |**Nature**|Conceptual, human-centered framework|Computational, data-driven algorithms| |**Purpose**|Understanding complexity and dynamics|Automating or enhancing tasks through pattern recognition| |**Input**|Mental models, qualitative and quantitative data|Primarily quantitative data| |**Focus**|Whole-system behavior, feedback, and structure|Prediction, classification, optimization| |**Adaptability**|Based on experience, reflection, and interpretation|Based on data availability and algorithmic design| They are not mutually exclusive. AI can be enhanced by systems thinking to address biases, account for systemic consequences, and improve ethical governance.