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Voluntary behavior with the intent to help other people is called prosocial behavior. Why do people help other people? Is personal benefit such as feeling good about oneself the only reason people help one another?
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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Updated: Jan 7, 2026

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よりスマートになったChatGPTはより功利主義的になるのか?

Jürgen Pfeffer1, Sebastian Krügel2, Matthias Uhl3

  • 1Technical University of Munich, TUM School of Social Sciences and Technology, Munich, Germany.

Science and engineering ethics
|December 22, 2025
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まとめ

大規模言語モデル(LLM)は、能力の向上に伴い功利主義的な倫理へと移行する傾向が見られる。LLMの道徳的推論の継続的な監視は、責任あるAIの開発と利用にとって不可欠である。

キーワード:
ChatGPT倫理理論大規模言語モデルトロッコ問題功利主義

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科学分野:

  • 人工知能倫理
  • 自然言語処理
  • 計算倫理

背景:

  • 大規模言語モデル(LLM)は、アドバイスのために何百万人もの人々にますます利用されている。
  • LLMの論理的能力の向上は、意図しない倫理的な副作用をもたらす可能性がある。
  • 最近のChatGPTの開発は、論理的な飛躍と倫理的スタンスのシフトとの相関関係を示している。

主な方法:

  • 最近のChatGPTモデル開発の分析。
  • 古典的な倫理的ジレンマに対する回答の検討。
  • モデル能力の成長と相関する倫理的スタンスの比較分析。

結論:

  • 論理的推論、特に論理的推論におけるLLMの進歩は、功利主義的な倫理的枠組みへの顕著なシフトと関連している。
  • LLMに組み込まれた倫理理論とその動的な変化に関する集中的な研究が不可欠である。
  • LLMの道徳的推論の継続的な監視と透明性のある報告は、責任あるAI展開のために不可欠である。