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Explainable artificial intelligence (xai) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine. La inteligencia artificial explicable (xai) permite a los usuarios humanos comprender y confiar en los resultados creados por los algoritmos de machine learning. 説明可能なAI手法 XAI手法は主に3つの方法で構成されています。 予測精度と追跡可能性は技術要件に対応し、意思決定の理解は人間のニーズに対応します。
𝘋𝘌𝘚𝘐𝘙𝘌𝘌 🫧 (@desiree.xk) • Threads, Say more
설명 가능한 인공 지능 (XAI)은 머신 러닝 알고리즘이 생성한 결과와 아웃풋을 인간 사용자가 이해하고 신뢰할 수 있도록 하는 일련의 프로세스와 방법입니다. 설명 가능한 AI는 AI 모델과 이에 대한 예상되는 영향 및 잠재적 편향을 설명하는 데. L'intelligence artificielle explicable (ou xai) permet aux utilisateurs humains de comprendre et de faire confiance aux résultats créés par les algorithmes de machine learning. La inteligencia artificial explicable (xai) permite a los usuarios humanos comprender y confiar en los resultados y productos creados por los algoritmos de aprendizaje automático.
Anhand von erklärbarer künstlicher intelligenz (explainable artificial intelligence, xai) können nutzer die von algorithmen des maschinellen lernens erzeugten ergebnisse und ausgaben.
A inteligência artificial explicável (xai) permite que os usuários humanos compreendam e confiem nos resultados e saídas criados pelos algoritmos de aprendizado de máquina. 什么是可解释 AI？ 可解释 人工智能 (XAI) 是一组流程和方法，它们可让人类理解并信任 机器学习 算法所产生的结果和输出。 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. Kecerdasan buatan yang dapat dijelaskan (xai) memungkinkan pengguna manusia untuk memahami dan memercayai hasil dan output yang dihasilkan oleh algoritme machine.
