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 …

Nov 28, 2019 · 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 …

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。

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.

Anhand von erklärbarer künstlicher Intelligenz (Explainable Artificial Intelligence, XAI) können Nutzer die von Algorithmen des maschinellen Lernens erzeugten Ergebnisse und Ausgaben verstehen und …

AI interpretability is the ability to understand and explain the decision-making processes that power artificial intelligence models.

A Inteligência Artificial Explicável (XAI) permite que os usuários humanos compreendam e confiem nos resultados e saídas criados pelos algoritmos de aprendizado de máquina.

You can configure explainability to reveal which features contribute to the model's predicted outcome for a transaction and predict what changes would result in a different outcome.

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.

Compliance frameworks have different explainability needs Compliance is not one-size-fits-all. Different regulatory frameworks were designed to address different risks, which means they have …