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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.
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Syllabus
책임감 있는 AI 소개
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.
Good to know
Good to know
Know what's good ,
what to watch for , 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
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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
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Refresh your understanding of fundamental AI principles to provide a solid foundation for the course.
Browse courses on
AI Principles
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Read introductory articles or blog posts on AI principles.
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Review online videos or tutorials that explain AI concepts.
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Attend a webinar or workshop on AI fundamentals.
Join a study group or online forum
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Engage with fellow learners and experts in AI to share knowledge, ask questions, and foster discussion, enhancing your understanding and deepening your connections.
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Search for online forums or study groups dedicated to AI.
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Join the group and actively participate in discussions.
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Share your insights and knowledge with other members.
Solve AI case studies
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Apply your understanding of AI to real-world scenarios, reinforcing key concepts and problem-solving skills.
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Analyze real-world AI case studies.
-
Identify the problem statement, AI techniques used, and outcomes.
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Discuss the ethical considerations and implications of the AI solutions.
One other activity
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Show all four activities
Volunteer to mentor AI enthusiasts
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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.
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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:
Machine Learning 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.
AI Engineer
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.
AI Consultant
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.
AI Auditor
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.
Ethics Officer
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.
AI Policy Advisor
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.
AI Researcher
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.
Compliance Officer
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.
IT Architect
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.
Business 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.
Software Engineer
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.
Data Analyst
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.
Product Manager
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.
Risk Manager
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.
Data Scientist
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.
For more career information including salaries, visit:
OpenCourser.com/course/3xttdy/introduction
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.
Save
AI를 사회적 문제 해결과 인간 복지 증진에 활용하는 것에 초점을 맞춘 책으로, 다양한 영역에서 AI 적용 사례와 윤리적 고려 사항을 다룹니다.
AI 윤리의 철학적 기반과 핵심 원칙을 다루는 책으로, AI 시스템 개발 및 사용에서 발생하는 윤리적 문제를 분석하고 해결 방법을 제시합니다.
AI 시스템의 공정성, 투명성, 책임성을 보장하는 알고리즘적 접근 방식에 초점을 맞춘 책으로, 편견 완화, 설명 가능성 향상, 책임 있는 의사 결정을 위한 방법을 제공합니다.
Save
이 책은 인공지능이 사회에 미치는 다양한 영향을 탐구하여 이 과정에서 다루는 주제에 대한 종합적인 관점을 제공합니다.
Save
비즈니스 및 산업에서 AI를 적용하고 활용하는 방법에 초점을 맞춘 책으로, AI의 잠재력과 책임 있게 구현하기 위한 고려 사항을 다룹니다.
Fastai 및 PyTorch를 사용한 딥러닝 프로그래밍을 위한 실습적인 가이드로, AI 시스템 구축에 필요한 기초 지식을 제공합니다.
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인공지능이 인류의 미래에 미치는 잠재적 영향에 대한 미래학적 탐구로, 책임 있는 AI 개발의 중요성을 강조합니다.
Save
인공 초지능의 잠재적 위험과 이를 관리하기 위한 전략을 탐구하는 책으로, 책임 있는 AI 개발에 대한 장기적인 관점을 제공합니다.
책임 있는 AI와 인공 초지능의 윤리적 고려 사항을 탐구하는 책으로, AI 시스템이 인간의 가치와 목표와 조화되도록 설계하기 위한 프레임워크를 제시합니다.
AI 시스템과 인간 가치观의 정렬에 초점을 맞춘 책으로, 책임 있는 AI 개발의 과제와 윤리적 고려 사항을 강조합니다.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3xttdy/introduction
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한국어
Good to know
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
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