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  • 説明可能なAI(XAI)とは - IBM
    説明可能なAI(XAI)とは、機械学習アルゴリズムによって生成された結果や判断の根拠を、人間が理解し、信頼できるようにするための一連のプロセスや方法のことです。
  • What is Explainable AI (XAI)? | IBM
    What is explainable AI? Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms Explainable AI is used to describe an AI model, its expected impact and potential biases
  • 설명 가능한 AI(XAI)란 무엇인가요? | IBM
    설명 가능한 인공 지능 (XAI)은 머신 러닝 알고리즘이 생성한 결과와 아웃풋을 인간 사용자가 이해하고 신뢰할 수 있도록 하는 일련의 프로세스와 방법입니다 설명 가능한 AI는 AI 모델과 이에 대한 예상되는 영향 및 잠재적 편향을 설명하는 데 사용됩니다
  • ¿Qué es la IA explicable (XAI)? | IBM
    La inteligencia artificial explicable (XAI) permite a los usuarios humanos comprender y confiar en los resultados y productos creados por los algoritmos de aprendizaje automático
  • 什么是可解释 AI (XAI)?| IBM
    设置 XAI 技术包括三种主要方法。 预测准确性和可跟踪性可满足技术方面的需求,而决策理解可满足人类需求。 如果未来的作战人员要理解、适度信任并有效管理新一代的人工智能机器合作伙伴,那么可解释 AI,尤其是可解释的机器学习,将至关重要。
  • O que é IA explicável (XAI)? | IBM
    A Inteligência Artificial Explicável (XAI) permite que os usuários humanos compreendam e confiem nos resultados e saídas criados pelos algoritmos de aprendizado de máquina
  • Quest-ce que lIA explicable (XAI) ? | IBM
    L'intelligence artificielle explicable (ou XAI) permet aux utilisateurs humains de comprendre et de faire confiance aux résultats créés par les algorithmes de machine learning
  • ¿Qué es la IA explicable (XAI)? | IBM
    La inteligencia artificial explicable (XAI) permite a los usuarios humanos comprender y confiar en los resultados creados por los algoritmos de machine learning




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