問28
頻出度★★☆
生成AI に関する記述として, 最も適切なものはどれか。
令和7年度 ITパスポート試験 問28
ストラテジ系ビジネスインダストリ › ビジネスシステム
This question's explanation and your answers so far.
解説
問 28
Incorrectア
Generative AI is a technology premised on prior learning from large amounts of data, so the statement that it generates new content without requiring any learning at all is wrong. It is precisely because of learning that it can generate plausible content.
Incorrectイ
A technology that learns correlations and the like from past data and then predicts future values from current data is a description of a predictive model (regression / predictive analytics), which differs in purpose from generative AI that produces new content. The difference is that it performs numerical prediction rather than generation.
Incorrectウ
A technology in which software robots automate routine operations based on a pre-created scenario is a description of RPA (Robotic Process Automation), which is a different thing from generative AI. It merely executes predetermined procedures and does not generate new content.
- エ
正解 Generative AI is an AI technology that learns from large amounts of data in advance and, following instructions (prompts) given by the user in natural language (human language), produces new content such as text, images, audio, and program code. Choice エ, “Following instructions given in natural language, it generates new content based on previously learned data,” accurately captures all three features of generative AI—prior learning, instructions in natural language, and generation of new content—so it is the most appropriate description.
ここがポイント
- Definition of generative AI: a technology that, based on large amounts of previously learned data, generates new content such as text, images, and audio following instructions given in natural language and the like.
- Distinction from similar technologies: it differs in both purpose and mechanism from predictive analytics (regression), which obtains future values, and from RPA, which automates routine operations.
用語