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 algorithm came to a result The whole calculation process is turned into what is commonly referred to as a “black box" that is impossible to interpret
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 to show how the AI makes its recommendations and suggestions
Cosè lAI 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
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 AI Transparency? | IBM 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 learning models Model explainability looks at how an AI system arrives at a specific result and helps to characterize model transparency
What Is AI Interpretability? | IBM AI interpretability is the ability to understand and explain the decision-making processes that power artificial intelligence models
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 verstehen und ihnen vertrauen
What Is AI TRiSM? | IBM AI TRiSM, or artificial intelligence (AI) trust, risk and security management (AI TRiSM), “ensures AI model governance, trustworthiness, fairness, reliability, robustness, efficacy and data protection "