本課程旨在說明負責任 AI 技術的概念和 AI 開發原則，同時介紹各項技術，在實務上找出公平性和偏誤，減少 AI/機器學習做法上的偏誤。我們也將探討實用方法和工具，透過 Google Cloud 產品和開放原始碼工具，導入負責任 AI 技術的最佳做法。
Responsible AI for Developers: Fairness & Bias - 繁體中文
Responsible AI for Developers: Fairness & Bias - 繁體中文
Instructor: Google Cloud Training
Sponsored by Coursera Learning Team
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
定義負責任的 AI 技術
瞭解 Google AI 開發原則
說明 AI 公平性和偏誤的意涵
說明如何透過資料和模型找出並減少偏誤
Details to know
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Assessments
2 assignments
Taught in Chinese (Traditional)
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There are 5 modules in this course
本單元介紹課程架構和目標。
What's included
1 video
本單元簡介負責任的 AI 技術，探討 Google 的 AI 開發原則和負責任 AI 技術的子議題，同時也對 Google 產品中的負責任 AI 技術提供實際個案研究。
What's included
4 videos1 assignment
本單元著重介紹 AI 公平性和偏誤，並提供多種技術與工具，透過資料和模型找出並減少偏誤。
What's included
9 videos1 assignment1 app item
本單元介紹最重要的概念、工具和技術，概略說明整個課程內容。
What's included
1 video1 reading
所有單元的學員用 PDF 連結
What's included
4 readings
Instructor
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