What is Explainable AI (XAI)? | IBM
Nov 28, 2019 · The setup of XAI techniques consists of three main methods. Prediction accuracy and traceability address technology requirements while decision understanding addresses human needs. Explainable AI—especially explainable machine learning—will be essential if future warfighters are to understand, appropriately trust, and effectively manage an ...
説明可能なAI（XAI）とは？| IBM
XAI の追跡性技術の一例が DeepLIFE（ディープラーニングの重要機能）で、これはニューロンごとの活性化を該当する参照ニューロンと照らし合わせて、活性化されたニューロン間の追跡リンクを表示し、ニューロン間の依存関係までも表示します。
¿Qué es la IA explicable (XAI)? | IBM
³ "Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (Inteligencia artificial explicable (XAI): conceptos, taxonomías, oportunidades y desafíos hacia la IA responsable)" (enlace externo a …
什么是可解释 AI (XAI)？| IBM
比较 ai 和 xai “常规”ai 和可解释 ai 之间究竟有什么区别？xai 采用了特定的技术和方法，以确保可以跟踪和解释在 ml 过程中所做出的每个决策。另一方面，ai 通常利用 ml 算法得出结果，但 ai 系统的架构师并不完全了解算法是如何得出该结果的。
설명 가능한 AI(XAI)란 무엇인가요? - IBM
xai는 머신 러닝 프로세스 중에 내린 각 결정을 추적하고 설명하기 위한 특정 기술과 방법을 구현합니다. 반면, AI는 종종 머신 러닝 알고리즘을 사용하여 결과에 도달하지만, AI 시스템 설계자는 이러한 알고리즘이 어떻게 결과에 도달했는지 완전히 이해하지 ...
Apa yang dimaksud dengan Explainable AI (XAI)? | IBM
Nov 28, 2019 · Membandingkan AI dan XAI Apa sebenarnya perbedaan antara AI “biasa” dan AI yang dapat dijelaskan? XAI menerapkan teknik dan metode khusus untuk memastikan bahwa setiap keputusan yang diambil selama proses ML dapat dilacak dan dijelaskan.Sebaliknya, AI sering kali mendapatkan hasil menggunakan algoritme ML, namun arsitek sistem AI tidak …
What Is Black Box AI and How Does It Work? | IBM
Oct 29, 2024 · 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. Users understand how the AI takes in data, processes it and arrives at a conclusion.
How is AI being used in Manufacturing | IBM
Nov 15, 2024 · AI analyzes sensor data from machinery to forecast failures before they occur. By using a digital twin to assess patterns in equipment behavior and performance, these systems can alert operators about potential issues early, allowing them to …
What Is AI Safety? - IBM
Nov 15, 2024 · Explainable AI (XAI) aims to clarify the opaque processes behind complex AI systems, focusing on interpretability to show how they arrive at their results. Ethical AI frameworks Many organizations have ethical AI frameworks to guide the development and use of AI systems.
Watson - IBM
IBM Watson IBM Research started working on the grand challenge of building a computer system that could compete with champions at the game of Jeopardy!.