What is Explainable AI (XAI)? | IBM
AI explainability also helps an organization adopt a responsible approach to AI development. As AI becomes more advanced, humans are challenged to comprehend and retrace how the …
Explainability - IBM
Explainability example Per GDPR (General Data Protection Regulation), a guest must explicitly opt in to use the hotel room assistant. Additionally, they will be provided with a transparent UI …
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。
Cos'è l'AI spiegabile (XAI)? | IBM
La cosiddetta AI spiegabile (o eXplainable AI , XAI) consente agli utenti umani di comprendere e ritenere affidabili i risultati e gli output generati mediante algoritmi di machine learning.
What Is AI Transparency? | IBM
Oct 30, 2023 · AI explainability, or explainable AI (XAI), is a set of processes and methods that allow human users to comprehend and trust the results and output created by machine …
설명 가능한 AI(XAI)란 무엇인가요? | IBM
설명 가능한 AI(XAI)를 통해 사용자는 머신 러닝 알고리즘이 생성한 결과와 출력을 이해하고, 신뢰할 수 있습니다.
Was ist erklärbare KI (XAI)? | IBM
Anhand von erklärbarer künstlicher Intelligenz (Explainable Artificial Intelligence, XAI) können Nutzer die von Algorithmen des maschinellen Lernens erzeugten Ergebnisse und Ausgaben …
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.
How IBM makes AI based on trust, fairness and explainability
For IBM, trust is a foundational pillar of AI. Check out our full Innovation panel to learn more about trust, fairness and governance with AI.
What Is AI Interpretability? | IBM
AI interpretability is the ability to understand and explain the decision-making processes that power artificial intelligence models.