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
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Responsible AI for Developers: Fairness & Bias - 繁體中文
Instructor: Google Cloud Training
Included with 
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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Recently updated!
July 2024
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
Offered by
Recommended if you're interested in Cloud Computing
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.