이 과정에서는 책임감 있는 AI라는 개념과 AI 원칙을 소개합니다. 공정성과 편향을 실질적으로 식별하고 AI/ML 실무에서 편향을 완화하는 기법을 알아봅니다. Google Cloud 제품과 오픈소스 도구를 사용하여 책임감 있는 AI 권장사항을 구현하는 실용적인 방법과 도구를 살펴봅니다.
Responsible AI for Developers: Fairness & Bias - 한국어
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
책임감 있는 AI 정의
Google의 AI 원칙 확인
AI 공정성과 편향의 의미 이해
데이터 및 모델링을 통해 편향을 식별하고 완화하는 방법 설명
Details to know
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Recently updated!
July 2024
Assessments
2 assignments
Taught in Korean
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There are 5 modules in this course
이 모듈에서는 과정 구성과 목표를 소개합니다.
What's included
1 video
이 모듈에서는 책임감 있는 AI에 대한 개요를 제공하며, Google의 AI 원칙과 책임감 있는 AI 관련 하위 주제를 다룹니다. Google 제품에 적용된 책임감 있는 AI의 실제 우수사례도 확인할 수 있습니다.
What's included
4 videos1 assignment
이 모듈에서는 AI 공정성과 편향성을 중점적으로 다룹니다. 데이터와 모델링을 통해 편향을 식별하고 완화하는 다양한 기법과 도구를 소개합니다.
What's included
9 videos1 assignment1 app item
이 모듈에서는 가장 중요한 개념, 도구, 기술을 살펴보면서 전체 과정을 요약합니다.
What's included
1 video1 reading
모든 모듈에 대한 학생 PDF 링크
What's included
4 readings
Instructor
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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.