기업에서 인공지능과 머신러닝의 사용이 계속 증가함에 따라 책임감 있는 빌드의 중요성도 커지고 있습니다. 대부분의 기업은 책임감 있는 AI를 실천하기가 말처럼 쉽지 않습니다. 조직에서 책임감 있는 AI를 운영하는 방법에 관심이 있다면 이 과정이 도움이 될 것입니다.
Responsible AI: Applying AI Principles with GC - 한국어
Responsible AI: Applying AI Principles with GC - 한국어
Taught in English
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
책임감 있는 AI 비즈니스 사례를 설명합니다.
문제 발견 권장사항을 통해 AI의 윤리적 고려사항을 파악합니다.
Google에서 어떻게 AI 원칙을 개발해 실천하고 있으며 그 과정에서 얻은 교훈을 활용하는지 설명합니다.
조직에서 책임감 있는 AI를 운영하기 위한 프레임워크를 채택합니다.
Details to know
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December 2023
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There are 7 modules in this course
이 모듈에서는 AI 기술이 미치는 영향과 책임감 있는 AI에 대한 Google의 접근 방식에 대해 알아보고 Google의 AI 원칙을 소개합니다.
What's included
3 videos
이 모듈에서는 Economist Intelligence Unit의 'The Business Case for Ethics by Design' 보고서를 토대로 책임감 있는 AI 비즈니스 사례를 만드는 방법을 알아봅니다.
What's included
2 videos
이 모듈에서는 윤리적 딜레마에 대해 알아보고 생성형 AI와 같은 신기술이 어떻게 해결이 필요한 윤리적 우려를 낳는지 살펴봅니다.
What's included
2 videos
이 모듈에서는 Google의 AI 원칙을 어떻게 개발했는지 알아보고 각 원칙의 윤리적 목표를 살펴봅니다.
What's included
3 videos
이 모듈에서는 책임감 있는 AI의 현실적인 응용에 대해 알아보고 설정 및 검토 실행을 통해 AI 원칙을 운영하는 방법을 살펴봅니다.
What's included
3 videos
이 모듈에서는 가능한 윤리적 문제를 파악하는 프로세스를 알아보고 문제 발견 질문을 통해 사용 사례의 잠재적인 득과 실에 대해 비판적으로 생각해 봅니다.
What's included
3 videos
이 모듈에서는 책임감 있는 AI 여정을 지속하기 위해 사용할 수 있는 다음 단계와 리소스에 대해 알아봅니다.
What's included
1 video1 reading1 quiz
Instructor
Offered by
Recommended if you're interested in Software Development
Google Cloud
Yale University
Google Cloud
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