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What is Explainable AI (XAI)? | IBM
Nov 28, 2019 · XAI implements specific techniques and methods to ensure that each decision made during the ML process can be traced and explained. AI, on the other hand, often arrives at a result using an ML algorithm, but the architects of the AI systems do not fully understand how the algorithm reached that result.
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。
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 ...
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。
O que é IA explicável (XAI)? | IBM
A XAI implementa técnicas e métodos específicos para garantir que cada decisão tomada durante o processo de ML possa ser rastreada e explicada. A IA, por outro lado, muitas vezes chega a um resultado usando um algoritmo de ML, mas os arquitetos dos sistemas de IA não entendem completamente como o algoritmo chegou a esse resultado.
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 AI Safety? - IBM
Nov 15, 2024 · Explainable AI (XAI) Many AI models, especially large language models (LLMs) , are "black boxes" that make decisions that are difficult for humans to interpret. Without transparency in the decision-making process, users are less likely to trust the results and recommendations.
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.
What Is Deep Learning? | IBM
Jun 17, 2024 · Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.
¿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 …