We may earn an affiliate commission when you visit our partners.

Introduction to Responsible AI - 한국어

Google Cloud Training

책임감 있는 AI란 무엇이고 이것이 왜 중요하며 Google에서는 어떻게 제품에 책임감 있는 AI를 구현하고 있는지 설명하는 입문용 마이크로 학습 과정입니다. Google의 7가지 AI 원칙도 소개합니다.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Here's a deal for you

Save money when you learn with a deal that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until August 30

Google AI App Builder

Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind

What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

소개 코스로서 초보자에게 알기 쉽고 이해하기 쉬운 설명을 제공합니다

구글 AI 원칙을 자세히 설명하며 AI 기술의 안전 및 윤리적 고려 사항에 대한 이해를 돕습니다

AI 업계와 비즈니스 환경에서 책임감 있는 AI의 중요성을 강조합니다

AI 팀이 책임감 있는 AI를 구현하기 위한 구글의 프레임워크와 접근 방식을 보여줍니다

코스 기간이 짧아 시간적 제약이 있는 학습자에게 적합합니다

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

책임감 있는 ai: 구글 입문

학습자들은 이 코스가 책임감 있는 AI의 핵심 개념과 구글의 7가지 AI 원칙을 간결하고 명확하게 소개하는 훌륭한 입문 과정이라고 말할 수 있습니다. 마이크로 학습 형식으로 구성되어 있어 바쁜 학습자들도 쉽게 접근하여 기본적인 이해를 빠르게 얻을 수 있습니다. 특히 구글의 실제 적용 사례를 통해 이론적 지식을 실무 관점에서 볼 수 있어 매우 유용하다고 평가될 수 있습니다. 다만, 심층적인 기술적 내용이나 복잡한 윤리적 딜레마에 대한 깊이 있는 탐구는 제한적일 수 있습니다.

한국어 학습자를 위한 접근성이 뛰어납니다.

"모든 내용이 한국어로 제공되어 영어가 익숙하지 않은 저에게는 큰 장점이었습니다."

"번역 품질이 우수하고, 한국어 학습자 친화적인 방식으로 내용이 전달됩니다."

"모국어로 편안하게 학습할 수 있어 내용 이해에 큰 도움이 되었습니다."

짧고 집중적인 형식으로 바쁜 학습자들에게 효율적입니다.

"바쁜 와중에도 부담 없이 들을 수 있는 짧은 길이의 강의 구성이 매우 좋았습니다."

"각 섹션이 간결하게 구성되어 있어 긴 시간 집중하기 어려운 상황에서도 학습이 용이합니다."

"핵심 내용을 빠르게 파악하고 기본적인 개요를 얻고 싶을 때 매우 유용한 형식입니다."

구글의 AI 원칙과 실제 적용 사례를 통해 실용적인 통찰을 제공합니다.

"구글이 AI를 개발하고 배포하는 데 있어 어떤 원칙을 지키는지 자세히 알 수 있어서 유용했습니다."

"실제 구글의 사례를 들어 설명해주니 이론적 내용이 더욱 현실감 있게 다가왔습니다."

"대형 기술 기업이 AI 윤리를 어떻게 접근하는지 엿볼 수 있어 흥미로웠습니다."

책임감 있는 AI의 기본 개념을 쉽고 명료하게 설명합니다.

"이 코스를 통해 책임감 있는 AI가 무엇인지, 왜 중요한지 명확하게 이해할 수 있었습니다."

"처음 접하는 개념인데도 쉽게 따라갈 수 있게 잘 설명되어 있어서 좋았습니다."

"AI 윤리에 대한 기본적인 틀을 잡는 데 도움이 되는 유익한 코스라고 생각합니다."

기본 개념에 충실하며, 심층적인 내용은 다루지 않습니다.

"이미 AI 윤리나 정책에 대한 사전 지식이 있다면, 이 코스가 너무 기초적이라고 느껴질 수 있습니다."

"더 깊이 있는 기술적 논의나 복잡한 윤리적 딜레마 해결 방안은 포함되어 있지 않아 아쉬웠습니다."

"이 코스만으로는 책임감 있는 AI 분야의 심층적인 전문성을 기대하기는 어렵다고 생각합니다."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Responsible AI - 한국어 with these activities:

Review AI principles

Show steps

Refresh your understanding of fundamental AI principles to provide a solid foundation for the course.

Browse courses on AI Principles

Show steps

Read introductory articles or blog posts on AI principles.
Review online videos or tutorials that explain AI concepts.
Attend a webinar or workshop on AI fundamentals.

Join a study group or online forum

Show steps

Engage with fellow learners and experts in AI to share knowledge, ask questions, and foster discussion, enhancing your understanding and deepening your connections.

Show steps

Search for online forums or study groups dedicated to AI.
Join the group and actively participate in discussions.
Share your insights and knowledge with other members.

Solve AI case studies

Show steps

Apply your understanding of AI to real-world scenarios, reinforcing key concepts and problem-solving skills.

Show steps

Analyze real-world AI case studies.
Identify the problem statement, AI techniques used, and outcomes.
Discuss the ethical considerations and implications of the AI solutions.

One other activity

Expand to see all activities and additional details

Show all four activities

Volunteer to mentor AI enthusiasts

Show steps

Share your knowledge and inspire the next generation of AI professionals while solidifying your own understanding of the subject.

Show steps

Join online or local AI communities.
Offer to mentor beginners or provide guidance on AI projects.
Prepare resources or materials to support your mentees.

Career center

Learners who complete Introduction to Responsible AI - 한국어 will develop knowledge and skills that may be useful to these careers:

AI Engineer

As an AI Engineer, you will design, develop, and maintain AI systems. This course, Introduction to Responsible AI, may be useful to you because it will help you understand the ethical implications of AI and how to develop and use AI responsibly. It will also provide you with hands-on experience with AI development.

See salaries and explore the career path for AI Engineer

Machine Learning Engineer

As a Machine Learning Engineer, you will develop and maintain machine learning algorithms. This course, Introduction to Responsible AI, may be useful to you because it will help you understand the ethical implications of AI and how to develop and use AI responsibly. It will also provide you with hands-on experience with machine learning development.

See salaries and explore the career path for Machine Learning Engineer

Ethics Officer

As an Ethics Officer, you will develop and implement ethics policies for your organization. This course, Introduction to Responsible AI, may be useful to you because it will help you understand how to develop and implement ethics policies related to AI.

See salaries and explore the career path for Ethics Officer

AI Consultant

As an AI Consultant, you will advise organizations on how to use AI responsibly and ethically. This course, Introduction to Responsible AI, may be useful to you because it will help you understand the ethical and responsible use of AI.

See salaries and explore the career path for AI Consultant

AI Policy Advisor

As an AI Policy Advisor, you will advise policymakers on AI-related issues. This course, Introduction to Responsible AI, may be useful to you because it will help you understand the ethical and policy implications of AI.

See salaries and explore the career path for AI Policy Advisor

AI Auditor

As an AI Auditor, you will evaluate the ethical and responsible use of AI systems. This course, Introduction to Responsible AI, may be useful to you because it will help you understand how to evaluate the ethical and responsible use of AI systems.

See salaries and explore the career path for AI Auditor

AI Researcher

As an AI Researcher, you will conduct research on AI algorithms and architectures. This course, Introduction to Responsible AI, may be useful to you because it will help you understand the ethical implications of AI and how to develop and use AI responsibly.

See salaries and explore the career path for AI Researcher

Compliance Officer

As a Compliance Officer, you will ensure that your organization complies with all applicable laws and regulations. This course, Introduction to Responsible AI, may be useful to you because it will help you understand how to comply with laws and regulations related to AI.

See salaries and explore the career path for Compliance Officer

Software Engineer

As a Software Engineer, you will design, develop, and maintain software applications. This course, Introduction to Responsible AI, may be useful to you because it will help you understand how to develop and use AI in software applications responsibly and ethically.

See salaries and explore the career path for Software Engineer

Data Analyst

As a Data Analyst, you will collect, analyze, and interpret data to help businesses make informed decisions. This course, Introduction to Responsible AI, may be useful to you because it will help you understand how to use AI to analyze data responsibly and ethically.

See salaries and explore the career path for Data Analyst

Business Analyst

As a Business Analyst, you will help businesses identify and solve problems. This course, Introduction to Responsible AI, may be useful to you because it will help you understand how to use AI to solve business problems responsibly and ethically.

See salaries and explore the career path for Business Analyst

Product Manager

As a Product Manager, you will manage the development and launch of products. This course, Introduction to Responsible AI, may be useful to you because it will help you understand how to develop and launch AI products responsibly and ethically.

See salaries and explore the career path for Product Manager

Data Scientist

As a Data Scientist, you will use machine learning and AI to solve business problems. This course, Introduction to Responsible AI, may be useful to you because it will help you understand the ethical implications of AI and how to develop and use AI responsibly.

See salaries and explore the career path for Data Scientist

IT Architect

As an IT Architect, you will design and manage IT systems. This course, Introduction to Responsible AI, may be useful to you because it will help you understand how to design and manage IT systems that use AI responsibly and ethically.

See salaries and explore the career path for IT Architect

Risk Manager

As a Risk Manager, you will identify and manage risks for your organization. This course, Introduction to Responsible AI, may be useful to you because it will help you understand how to identify and manage risks associated with AI.

See salaries and explore the career path for Risk Manager

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Responsible AI - 한국어.