Nov 28, 2019 · Explainable artificial intelligence (XAI) allows human users to comprehend and trust the results and output created by machine learning algorithms.

可解释 AI 用于说明 AI 模型、其预期影响和潜在偏见。它可帮助描述模型的准确性、公平性、透明度以及人工智能驱动型决策的结果。可解释 AI 至关重要，可在组织将 AI 模型投入生产时帮助 …

Oct 29, 2024 · Black box AI vs. white box AI White box AI, also called explainable AI (XAI) or glass box AI, is the opposite of black box AI. It is an AI system with transparent inner workings. …

AI for fraud detection refers to implementing machine learning (ML) algorithms to mitigate fraudulent activities.

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。

설명 가능한 AI(XAI)를 통해 사용자는 머신 러닝 알고리즘이 생성한 결과와 출력을 이해하고, 신뢰할 수 있습니다.

Nov 11, 2025 · The Red Dot jury recognized the IBM design team for its pioneering work in designing AI systems that are explainable, auditable and ready for real-world enterprise adoption.

Discover the differences and commonalities of artificial intelligence, machine learning, deep learning and neural networks.

The plan table contains information about the access path for the specified statement or statements. The statement table can be populated with information about the estimated cost of …

Getting ready for upcoming regulations with IBM IBM watsonx.governance helps you accelerate responsible, transparent and explainable AI workflows IBM® watsonx.governance™ allows …