"Generative" AI is so-called because

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BlackTom AI · Accepted Answer

"Generative" AI is so-called because

Option 1: "it produces new content based on the analysis of large quantities of existing data." This is the core idea behind generative AI: models learn patterns from vast datasets and then generate novel content that resembles that data, such as text, images, or music, rather than simply regurgitating exact excerpts. The emphasis is on creation by generalizing from prior data.

Option 2: "it generates answers to questions." While generative AI can indeed answer questions, this capability describes a common function of many AI systems (including chatbots and QA models) and is not the defining characteristic of generative AI. The key distinction is the ability to create new content, not merely respond with existing knowledge.

Option 3: "it produces new strategies that could not have been produced by a human." This statement overstates what generative models do. While they can propose novel combinations or ideas, the claim that they produce strategies unattainable by humans is not accurate; their output is ultimately derived from human-created data and patterns, not an inherently limitless generation of unhuman ideas. The hallmark remains generation of new content modeled after data, not guaranteed uniqueness beyond human capability.

In summary, the defining feature of generative AI is its ability to create new content by learning from and transforming large-scale existing data, rather than simply answering questions or producing wholly unprecedented autonomous strategies.

BUSI_V 335 972 2025SS BUSI 335 MT1 Practice Exam

"Generative" AI is so-called because

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