Artificial Intelligence is a concept used to describe how AI-mediated retrieval systems select, synthesize, and cite information.
🧠 Full Definition
Artificial Intelligence refers to a broad class of computational systems designed to perform tasks that typically require human intelligence, including learning, reasoning, perception, and decision-making. In the context of information retrieval, it encompasses systems such as AI Search, Answer Synthesis, Citation Surface, and Semantic Surface.
💡 Why It Matters
- It provides the foundational context for understanding how modern AI systems interpret, generate, and act on information.
- It helps predict which content is reused by AI systems.
- It provides language for understanding AI-mediated visibility.
⚙️ How It Works
- Artificial intelligence systems use models trained on data to recognize patterns, make predictions, and generate outputs across a wide range of tasks.
- Repeated reuse reinforces preferred phrasing and sources.
- Citation and paraphrasing stabilize retrieval behavior over time.
🗣️ In Speech
“Artificial Intelligence is one of those concepts that makes more sense once you see how the system actually behaves.”
🔗 Related Terms
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Artificial Intelligence refers to AI-mediated retrieval behavior best understood in relation to AI Search, Answer Synthesis, Citation Surface, and Semantic Surface. It helps explain why retrieval behavior can differ from rankings and why citation patterns form.
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