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Brent Summers
본 강의에서는 머신 러닝 분야에서의 보안 및 프라이버시와 관련된 기본 개념을 살펴봅니다. 그 기저에 깔린 윤리를 깊이 있게 탐구하면서, 유효한 예측 모델을 구축하는 과정에서 사용자의 프라이버시를 보호하는 방법을 알아보겠습니다. 또한 두 가지 심층 질문을 통해, 기업이 알고리즘을 구현하는 방법과 그에 따라 현재와 미래에 사용자 프라이버시 및 투명성에 영향을 미치는 방법도 모색할 것입니다.
Register for this course and see more details by visiting:
OpenCourser.com/course/cb8qdq/ai
What's inside
Syllabus
프라이버시와 편의성 및 빅 데이터
모듈 1에서는 머신 러닝에서 익명성과 프라이버시의 실제 의미가 무엇인지 알아봅니다.
프라이버시 보호: 이론 및 방법
모듈 2에서는 데이터 세트의 보안에 대해 자세히 알아봅니다. 또한 기존 및 신규 데이터 세트에 포함된 개인을 보호하기 위한 프라이버시 보장 기술도 함께 살펴보겠습니다.
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Syllabus
프라이버시와 편의성 및 빅 데이터
모듈 1에서는 머신 러닝에서 익명성과 프라이버시의 실제 의미가 무엇인지 알아봅니다.
프라이버시 보호: 이론 및 방법
모듈 2에서는 데이터 세트의 보안에 대해 자세히 알아봅니다. 또한 기존 및 신규 데이터 세트에 포함된 개인을 보호하기 위한 프라이버시 보장 기술도 함께 살펴보겠습니다.
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투명성 모델 구축
모듈 3에서는 윤리적 비공개 모델 실현에 대해 알아봅니다. 설명 가능한 AI의 발전 동향과 이러한 알고리즘을 개발하는 팀에서 겪을 수 있는 이해 충돌 문제를 함께 살펴보겠습니다.
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Teaches about a field that is relevant to technology and ethics
Teaches about handling sensitive data, which can be a skill highly relevant to a variety of roles
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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 AI 프라이버시 및 편의성 with these
activities:
학습 커뮤니티에서 프라이버시 개념 공유
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동료 학습자와 토론하고, 도움을 주며, 지식을 공유함으로써 머신 러닝 프라이버시 및 보안에 대한 이해를 심화하세요.
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학습 커뮤니티 참여
-
질문 응답
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학습 커뮤니티에서 프라이버시 개념 공유
Show steps
동료 학습자와 토론하고, 도움을 주며, 지식을 공유함으로써 머신 러닝 프라이버시 및 보안에 대한 이해를 심화하세요.
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- 학습 커뮤니티 참여
- 질문 응답
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Career center
Learners who complete AI 프라이버시 및 편의성 will develop knowledge and skills
that may be useful to these careers:
Privacy Analyst
Privacy Analyst
For Privacy Analysts, the course AI Privacy and Usability can help you understand how to implement algorithms in a way that protects user privacy. It will also teach you how to predict and manage how privacy concerns will affect both your current and future practices.
Privacy Lawyer
Privacy Lawyer
For those interested in becoming a Privacy Lawyer, taking the course AI Privacy and Usability is a good step towards your career goal. It will teach you the fundamentals of privacy protection in the context of Machine Learning, which is a growing area of law.
Data Protection Officer
Data Protection Officer
If you wish to become a Data Protection Officer, then taking AI Privacy and Usability may be a good step towards your goal. It will teach you the theory and methods of privacy protection, which is an essential skill for someone in your field.
Compliance Officer
Compliance Officer
A career as a Compliance Officer may be a good fit for someone who has taken the course AI Privacy and Usability. By teaching you how to protect user privacy in the age of Machine Learning, this course can help you develop the skills you need.
Data Scientist
Data Scientist
The course AI Privacy and Usability will teach you best practices for protecting your user's privacy while building effective predictive models. As a Data Scientist, you will be tasked with not only building these models, but ensuring that they have been built ethically to protect the privacy of your users. This course will help build a foundation for you to understand how to do both.
Information Security Officer
Information Security Officer
Someone who wishes to pursue a career as an Information Security Officer will likely find that the course AI Privacy and Usability is helpful. By teaching you how to protect your users' privacy, it can lay the foundation for your future in this related field.
Information Security Analyst
Information Security Analyst
Similar to the role of an Information Security Officer, an Information Security Analyst may benefit from taking the course AI Privacy and Usability. Understanding the fundamentals around protecting user privacy in the age of Machine Learning is critical, and this course can help.
Product Manager
Product Manager
As a Product Manager responsible for AI products, understanding the principles around privacy and how to implement algorithms that protect user privacy will be important for your success. This course can teach you what you need to know.
Machine Learning Engineer
Machine Learning Engineer
The course AI Privacy and Usability is a good complement to a career as a Machine Learning Engineer. By learning how to build ethical, non-public models, you can ensure that your Machine Learning models are not compromising the privacy of your users.
Security Analyst
Security Analyst
If you are considering becoming a Security Analyst, taking the course AI Privacy and Usability will allow you to develop a deeper understanding of the latest privacy concerns, and how to mitigate them in your organization.
Security Architect
Security Architect
The course AI Privacy and Usability will teach you how to implement algorithms in a way that protects user privacy. For a Security Architect, this is a key component of designing and building a secure system.
User Experience Researcher
User Experience Researcher
Someone wishing to enter the field of User Experience Research may find that the course AI Privacy and Usability will be helpful. It will teach you how to balance the need for privacy with the need for usability, which is a major concern in the field of UX research.
UX Designer
UX Designer
As a UX Designer, you will need to understand the importance of privacy and how to protect it in your designs. The course AI Privacy and Usability will teach you the fundamentals you need to know.
Software Engineer
Software Engineer
As a Software Engineer, you will need to be up to date on the latest in privacy and security. By learning about how to protect privacy and how to predict and manage the impacts to it, you will be better prepared to succeed in your role.
Risk Manager
Risk Manager
Someone interested in becoming a Risk Manager might find the course AI Privacy and Usability may be useful. It will teach you how to predict and manage the privacy impacts of your current and future practices in regard to Machine Learning.
For more career information including salaries, visit:
OpenCourser.com/course/cb8qdq/ai
Reading list
We've selected six 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
AI 프라이버시 및 편의성.
AI Ethics offers a comprehensive exploration of the ethical issues surrounding artificial intelligence, including privacy and security implications.
This classic work explores the history and evolution of privacy rights, including their implications for data collection and use in the digital age.
Provides a broad overview of the Fourth Industrial Revolution and its implications for society, including its impact on the workforce and the economy.
Save
Provides a futuristic perspective on the potential impact of AI and other emerging technologies on humanity, exploring their potential benefits and risks.
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Explores the potential risks and benefits of superintelligence, offering a speculative and thought-provoking examination of its implications for humanity.
Presents a futurist perspective on the potential for technological advancements to lead to a singularity, where AI surpasses human intelligence.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/cb8qdq/ai
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Level
Intermediate
Via
Coursera
Institution
LearnQuest
Instructor
Brent Summers
Language
한국어
Transcripts
English
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Pусский
Good to know
Teaches about a field that is relevant to technology and ethics
Teaches about handling sensitive data, which can be a skill highly relevant to a variety of roles
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