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Published: 05 June 2023



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  • ChatGPTは、史上最も急成長しているテクノロジの1つであるが、その利用に伴う倫理的な問題が早くも露呈している。例えば、データのバイアスや望ましくない/攻撃的な回答である。

  • 大規模言語モデル (LLM) を使用した製品は今後も多数登場し、ユースケースも増加する。

  • LLMは画期的なテクノロジであると認識されているが、倫理に関する既存のベスト・プラクティスの多くを適用できる。

  • ビジネスにおけるLLMの使用、特に顧客とのやりとりをLLMに入力することはリスクを伴うが、早々に不可避となる可能性がある。



  • AIとやりとりしていることをユーザー (従業員、顧客、市民) が理解できるようにする。

  • プロセスやガイドラインについてデュー・デリジェンスを実施する。その目的の1つは、結果の検証やモデル・ドリフトの継続的なテストによって、制御不能なバイアスをはじめとする、LLMの使用における信頼性に関する問題を追跡することである。

  • プライバシーとセキュリティに関する懸念に対処する。そのためには、機密データがLLMに入力されたり、LLMから出力されたり、自社のコントロールが及ばない機械学習のためにLLMプロバイダーによって使用されたりしないようにする。

  • ベータ版のLLM機能を長期間にわたって使い、ユーザーが完璧な結果を期待しないようにすることで、誤りに対する許容度を高める。

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Tadaaki Mataga

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