このコースでは、責任ある AI および AI に関する原則のコンセプトを紹介します。AI / ML の実践における公平性とバイアスを特定し、バイアスを軽減するための実践的な手法を取り扱います。具体的には、Google Cloud プロダクトとオープンソース ツールを使用して責任ある AI のベスト プラクティスを実装するための実践的な方法とツールを検証します。
Responsible AI for Developers: Fairness & Bias - 日本語版
Responsible AI for Developers: Fairness & Bias - 日本語版
Taught in Japanese
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
責任ある AI とは何かを定義する
Google の AI に関する原則を確認する
AI における公平性およびバイアスとは何かを説明できるようになる
データとモデリングを通じたバイアスの識別と軽減方法について説明できるようになる
Details to know
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July 2024
Assessments
2 assignments
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There are 5 modules in this course
このモジュールでは、コースの構成と目標について説明します。
What's included
1 video
このモジュールでは、責任ある AI の概要について説明します。内容には、Google の AI に関する原則と、責任ある AI に関するサブトピックが含まれます。また、Google プロダクトにおける責任ある AI の実際のケーススタディも紹介します。
What's included
4 videos1 assignment
このモジュールでは、AI における公平性とバイアスに焦点を当てます。データとモデリングを通じたバイアスの識別と軽減のためのさまざまな手法やツールを紹介します。
What's included
9 videos1 assignment1 app item
このモジュールでは、最も重要なコンセプト、ツール、手法について取り上げ、コース全体の概要を説明します。
What's included
1 video1 reading
すべてのモジュールへの受講者用 PDF リンク
What's included
4 readings
Instructor
Offered by
Recommended if you're interested in Cloud Computing
University of Virginia
Coursera Project Network
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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.