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這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性，以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。
Register for this course and see more details by visiting:
OpenCourser.com/course/50c4p8/introduction
What's inside
Syllabus
「負責任的 AI 技術」簡介
這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性，以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
適合學習 AI ethics 領域之基礎知識者。
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Save Introduction to Responsible AI - 繁體中文 to your list so you can find it easily later:
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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 - 繁體中文 with these
activities:
使用 TensorFlow 實作負責任的人工智慧模型
Show steps
藉由親自實作模型，你可以深入了解負責任的人工智慧模型的運作方式。
Browse courses on
TensorFlow
Show steps
-
觀看 TensorFlow 官方教程，學習如何建立基本的人工智慧模型。
-
將負責任的人工智慧原則應用到模型中，例如偏見緩解和可解釋性。
-
部署模型並監控其效能，以確保其符合負責任的人工智慧標準。
Show all one activities
使用 TensorFlow 實作負責任的人工智慧模型
Show steps
藉由親自實作模型，你可以深入了解負責任的人工智慧模型的運作方式。
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- 觀看 TensorFlow 官方教程，學習如何建立基本的人工智慧模型。
- 將負責任的人工智慧原則應用到模型中，例如偏見緩解和可解釋性。
- 部署模型並監控其效能，以確保其符合負責任的人工智慧標準。
Show all one activities
Career center
Learners who complete Introduction to Responsible AI - 繁體中文 will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course on Responsible AI can help Machine Learning Engineers understand the ethical implications of their work and how to develop AI systems that are fair, unbiased, and transparent. This course can be particularly useful for Machine Learning Engineers who are working on developing AI systems for sensitive applications, such as healthcare or finance.
Data Scientist
Data Scientist
Data Scientists are responsible for analyzing data to extract insights that can help businesses make better decisions. This course on Responsible AI can help Data Scientists understand the ethical implications of their work and how to develop AI systems that are fair, unbiased, and transparent. This course can be particularly useful for Data Scientists who are working on developing AI systems for sensitive applications, such as healthcare or finance.
AI Researcher
AI Researcher
AI Researchers develop new AI algorithms and techniques. This course on Responsible AI can help AI Researchers understand the ethical implications of their work and how to develop AI systems that are fair, unbiased, and transparent. This course can be particularly useful for AI Researchers who are working on developing AI systems for sensitive applications, such as healthcare or finance.
Product Manager
Product Manager
Product Managers are responsible for defining and managing the development of new products. This course on Responsible AI can help Product Managers understand the ethical implications of AI and how to develop AI-powered products that are fair, unbiased, and transparent. This course can be particularly useful for Product Managers who are working on developing AI-powered products for sensitive applications, such as healthcare or finance.
Software Engineer
Software Engineer
Software Engineers design, develop, and test software applications. This course on Responsible AI can help Software Engineers understand the ethical implications of their work and how to develop AI systems that are fair, unbiased, and transparent. This course can be particularly useful for Software Engineers who are working on developing AI systems for sensitive applications, such as healthcare or finance.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course on Responsible AI can help Project Managers understand the ethical implications of AI and how to develop AI-powered projects that are fair, unbiased, and transparent. This course can be particularly useful for Project Managers who are working on developing AI-powered projects for sensitive applications, such as healthcare or finance.
Business Analyst
Business Analyst
Business Analysts help businesses understand their needs and develop solutions to meet those needs. This course on Responsible AI can help Business Analysts understand the ethical implications of AI and how to develop AI-powered solutions that are fair, unbiased, and transparent. This course can be particularly useful for Business Analysts who are working on developing AI-powered solutions for sensitive applications, such as healthcare or finance.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to extract insights that can help businesses make better decisions. This course on Responsible AI can help Data Analysts understand the ethical implications of their work and how to develop AI systems that are fair, unbiased, and transparent. This course can be particularly useful for Data Analysts who are working on developing AI systems for sensitive applications, such as healthcare or finance.
Compliance Officer
Compliance Officer
Compliance Officers ensure that businesses comply with laws and regulations. This course on Responsible AI can help Compliance Officers understand the ethical implications of AI and how to develop AI-powered compliance systems that are fair, unbiased, and transparent. This course can be particularly useful for Compliance Officers who are working on developing AI-powered compliance systems for sensitive applications, such as healthcare or finance.
Risk Manager
Risk Manager
Risk Managers identify, assess, and mitigate risks. This course on Responsible AI can help Risk Managers understand the ethical implications of AI and how to develop AI-powered risk management systems that are fair, unbiased, and transparent. This course can be particularly useful for Risk Managers who are working on developing AI-powered risk management systems for sensitive applications, such as healthcare or finance.
Auditor
Auditor
Auditors examine and evaluate financial records to ensure accuracy and compliance. This course on Responsible AI can help Auditors understand the ethical implications of AI and how to develop AI-powered auditing systems that are fair, unbiased, and transparent. This course can be particularly useful for Auditors who are working on developing AI-powered auditing systems for sensitive applications, such as healthcare or finance.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a variety of topics. This course on Responsible AI can help Consultants understand the ethical implications of AI and how to develop AI-powered consulting services that are fair, unbiased, and transparent. This course can be particularly useful for Consultants who are working on developing AI-powered consulting services for sensitive applications, such as healthcare or finance.
IT Manager
IT Manager
IT Managers plan, implement, and manage IT systems and networks. This course on Responsible AI can help IT Managers understand the ethical implications of AI and how to develop AI-powered IT systems that are fair, unbiased, and transparent. This course can be particularly useful for IT Managers who are working on developing AI-powered IT systems for sensitive applications, such as healthcare or finance.
Cybersecurity Analyst
Cybersecurity Analyst
Cybersecurity Analysts protect computer systems and networks from cyberattacks. This course on Responsible AI can help Cybersecurity Analysts understand the ethical implications of AI and how to develop AI-powered cybersecurity systems that are fair, unbiased, and transparent. This course can be particularly useful for Cybersecurity Analysts who are working on developing AI-powered cybersecurity systems for sensitive applications, such as healthcare or finance.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course on Responsible AI can help Data Engineers understand the ethical implications of AI and how to develop AI-powered data pipelines that are fair, unbiased, and transparent. This course can be particularly useful for Data Engineers who are working on developing AI-powered data pipelines for sensitive applications, such as healthcare or finance.
For more career information including salaries, visit:
OpenCourser.com/course/50c4p8/introduction
Reading list
We've selected 12 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 - 繁體中文.
This comprehensive textbook provides a thorough foundation in artificial intelligence, covering fundamental concepts, algorithms, and applications. It would be a valuable resource for students looking to deepen their understanding of the field.
Save
Comprehensive guide to deep learning, covering the latest techniques and applications. It would be a valuable resource for students who want to learn more about the theoretical foundations of AI.
Provides a practical introduction to machine learning using Python. It would be a helpful resource for students who want to learn how to apply AI techniques to real-world problems.
Provides a comprehensive introduction to statistical learning, which fundamental foundation for AI. It would be a valuable resource for students who want to learn more about the mathematical and statistical underpinnings of AI.
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Explores the potential future of humanity in the age of AI. It would be a valuable resource for students who want to learn more about the long-term implications of AI.
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Explores the impact of AI on the workforce and the economy. It would be a valuable resource for students who want to learn more about the economic and social implications of AI.
Provides a comprehensive overview of the ethical issues surrounding AI. It would be a valuable resource for students who want to learn more about the ethical implications of AI.
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Provides a comprehensive overview of the history and development of AI. It would be a valuable resource for students who want to learn more about the theoretical foundations of AI.
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Explores the potential risks and benefits of AI. It would be a valuable resource for students who want to learn more about the existential risks of AI.
Explores the potential future of humanity in the age of AI. It would be a valuable resource for students who want to learn more about the potential long-term implications of AI.
Save
Explores the potential future of humanity in the age of AI. It would be a valuable resource for students who want to learn more about the potential long-term implications of AI.
Explores the potential impact of AI on society and the human experience. It would be a valuable resource for students who want to learn more about the social and cultural implications of AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/50c4p8/introduction
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