認識は理解ではない
機械学習モデルによる画像認識の精度が人間を超えつつある一方で、認識と理解の間には本質的なギャップが存在することを論じた記事。モデルはパターン認識に優れていても、文脈や因果関係を真に「理解」しているわけではなく、その違いを無視した過信は誤った判断や倫理的リスクを生む危険性があると警鐘を鳴らす。
背景メモ
- 本稿は、AIの画像認識と人間の「理解」のあいだにある本質的なギャップを考察する論考。著者はデザイナー／思想家の渡邉康太郎。
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