Course Code: xaitransparency
Duration: 21 hours
Prerequisites:
  • 機器學習和 AI 模型開發經驗
  • 熟悉 Python 程式設計

觀眾

  • 數據科學家
  • 機器學習工程師
  • AI 專家
Overview:

可解釋的 AI (XAI) 對於創建透明且可解釋的 AI 系統至關重要。本課程深入探討高級 XAI 技術,探索如何通過解決可解釋性挑戰使 AI 模型更加負責和合乎道德。

這種講師指導的現場培訓(在線或現場)面向希望在實際應用中實施透明 AI 系統的中高級專業人員。

在本次培訓結束時,參與者將能夠:

  • 瞭解 AI 模型中透明度的重要性。
  • 實施高級 XAI 技術來解釋複雜模型。
  • 使用 SHAP、LIME 和其他工具增強模型透明度。
  • 解決 AI 模型中的道德問題和公平性。

課程形式

  • 互動講座和討論。
  • 大量的練習和練習。
  • 在即時實驗室環境中動手實施。

課程自定義選項

  • 要申請本課程的定製培訓,請聯繫我們進行安排。
Course Outline:

Explainable AI (XAI) 和模型透明度簡介

  • 什麼是可解釋的 AI?
  • 為什麼透明度在 AI 系統中很重要
  • AI 模型中的可解釋性與性能

XAI 技術概述

  • 與模型無關的方法:SHAP、LIME
  • 特定於模型的可解釋性技術
  • 解釋神經網路和深度學習模型

構建透明的 AI 模型

  • 在實踐中實現可解釋模型
  • 比較透明模型與黑盒模型
  • 平衡複雜性與可解釋性

高級 XAI 工具和庫

  • 使用 SHAP 進行模型解釋
  • 利用 LIME 實現本地可解釋性
  • 模型決策和行為的可視化

解決公平、偏見和道德 AI 問題

  • 識別和減少 AI 模型中的偏見
  • AI 的公平性及其社會影響
  • 確保 AI 部署中的問責制和道德規範

XAI 的實際應用

  • 醫療保健、金融和政府領域的案例研究
  • 解釋 AI 模型以實現監管合規性
  • 通過透明的 AI 系統建立信任

可解釋 AI 的未來方向

  • XAI 的新興研究
  • 為大型系統擴展 XAI 的挑戰
  • 透明 AI 的未來機遇

總結和後續步驟

Sites Published:

United Arab Emirates - Explainable AI (XAI) for Transparency in AI Models

Qatar - Explainable AI (XAI) for Transparency in AI Models

Egypt - Explainable AI (XAI) for Transparency in AI Models

Saudi Arabia - Explainable AI (XAI) for Transparency in AI Models

South Africa - Explainable AI (XAI) for Transparency in AI Models

Brasil - Explainable AI (XAI) for Transparency in AI Models

Canada - Explainable AI (XAI) for Transparency in AI Models

中国 - Explainable AI (XAI) for Transparency in AI Models

香港 - Explainable AI (XAI) for Transparency in AI Models

澳門 - Explainable AI (XAI) for Transparency in AI Models

台灣 - Explainable AI (XAI) for Transparency in AI Models

USA - Explainable AI (XAI) for Transparency in AI Models

Österreich - Explainable AI (XAI) for Transparency in AI Models

Schweiz - Explainable AI (XAI) for Transparency in AI Models

Deutschland - Explainable AI (XAI) for Transparency in AI Models

Czech Republic - Explainable AI (XAI) for Transparency in AI Models

Denmark - Explainable AI (XAI) for Transparency in AI Models

Estonia - Explainable AI (XAI) for Transparency in AI Models

Finland - Explainable AI (XAI) for Transparency in AI Models

Greece - Explainable AI (XAI) for Transparency in AI Models

Magyarország - Explainable AI (XAI) for Transparency in AI Models

Ireland - Explainable AI (XAI) for Transparency in AI Models

Luxembourg - Explainable AI (XAI) for Transparency in AI Models

Latvia - Explainable AI (XAI) for Transparency in AI Models

España - Explainable AI (XAI) for Transparency in AI Models

Italia - Explainable AI (XAI) for Transparency in AI Models

Lithuania - Explainable AI (XAI) for Transparency in AI Models

Nederland - Explainable AI (XAI) for Transparency in AI Models

Norway - Explainable AI (XAI) for Transparency in AI Models

Portugal - Explainable AI (XAI) for Transparency in AI Models

România - Explainable AI (XAI) for Transparency in AI Models

Sverige - Explainable AI (XAI) for Transparency in AI Models

Türkiye - Explainable AI (XAI) for Transparency in AI Models

Malta - Explainable AI (XAI) for Transparency in AI Models

Belgique - Explainable AI (XAI) for Transparency in AI Models

France - Explainable AI (XAI) for Transparency in AI Models

日本 - Explainable AI (XAI) for Transparency in AI Models

Australia - Explainable AI (XAI) for Transparency in AI Models

Malaysia - Explainable AI (XAI) for Transparency in AI Models

New Zealand - Explainable AI (XAI) for Transparency in AI Models

Philippines - Explainable AI (XAI) for Transparency in AI Models

Singapore - Explainable AI (XAI) for Transparency in AI Models

Thailand - Explainable AI (XAI) for Transparency in AI Models

Vietnam - Explainable AI (XAI) for Transparency in AI Models

India - Explainable AI (XAI) for Transparency in AI Models

Argentina - Explainable AI (XAI) for Transparency in AI Models

Chile - Explainable AI (XAI) for Transparency in AI Models

Costa Rica - Explainable AI (XAI) for Transparency in AI Models

Ecuador - Explainable AI (XAI) for Transparency in AI Models

Guatemala - Explainable AI (XAI) for Transparency in AI Models

Colombia - Explainable AI (XAI) for Transparency in AI Models

México - Explainable AI (XAI) for Transparency in AI Models

Panama - Explainable AI (XAI) for Transparency in AI Models

Peru - Explainable AI (XAI) for Transparency in AI Models

Uruguay - Explainable AI (XAI) for Transparency in AI Models

Venezuela - Explainable AI (XAI) for Transparency in AI Models

Polska - Explainable AI (XAI) for Transparency in AI Models

United Kingdom - Explainable AI (XAI) for Transparency in AI Models

South Korea - Explainable AI (XAI) for Transparency in AI Models

Pakistan - Explainable AI (XAI) for Transparency in AI Models

Sri Lanka - Explainable AI (XAI) for Transparency in AI Models

Bulgaria - Explainable AI (XAI) for Transparency in AI Models

Bolivia - Explainable AI (XAI) for Transparency in AI Models

Indonesia - Explainable AI (XAI) for Transparency in AI Models

Kazakhstan - Explainable AI (XAI) for Transparency in AI Models

Moldova - Explainable AI (XAI) for Transparency in AI Models

Morocco - Explainable AI (XAI) for Transparency in AI Models

Tunisia - Explainable AI (XAI) for Transparency in AI Models

Kuwait - Explainable AI (XAI) for Transparency in AI Models

Oman - Explainable AI (XAI) for Transparency in AI Models

Slovakia - Explainable AI (XAI) for Transparency in AI Models

Kenya - Explainable AI (XAI) for Transparency in AI Models

Nigeria - Explainable AI (XAI) for Transparency in AI Models

Botswana - Explainable AI (XAI) for Transparency in AI Models

Slovenia - Explainable AI (XAI) for Transparency in AI Models

Croatia - Explainable AI (XAI) for Transparency in AI Models

Serbia - Explainable AI (XAI) for Transparency in AI Models

Bhutan - Explainable AI (XAI) for Transparency in AI Models

Nepal - Explainable AI (XAI) for Transparency in AI Models

Uzbekistan - Explainable AI (XAI) for Transparency in AI Models