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Google Cloud Training

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。

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Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
適合學習 AI ethics 領域之基礎知識者。

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Reviews summary

負責任ai入門與google原則

根據學員表示,這門「負責任的AI入門」課程提供了清晰簡潔的AI倫理概覽,被許多人認為是理解負責任AI的絕佳起點。課程尤其適合初學者時間有限的專業人士,能快速幫助他們掌握核心概念並深入了解Google的七項AI開發原則。雖然課程因其高效率易於理解的特性而受到廣泛好評,但少數學員指出其內容較為基礎,對於已有AI背景的人來說缺乏更深入的討論或實踐案例,且主要集中在Google的獨特視角。總體而言,這是一門針對性強且實用的入門課程
詳細闡述了Google的AI開發原則,具備參考價值。
"...特別是Google的七項原則,給了我很多啟發。"
"Google的原則講解得很清楚。"
"讓我快速掌握了負責任AI的核心概念和Google的方針。"
課程設計精簡,讓忙碌的專業人士能夠快速學習。
"非常簡潔有效的課程...時間不多的專業人士也能輕鬆完成。強烈推薦!"
"出色的入門級課程!...由於其簡短的性質,很容易消化。對於繁忙的專業人士來說,這是完美的選擇。"
"這門課適合我這樣需要快速學習並掌握基礎知識的人。"
課程內容簡潔明瞭,非常適合負責任AI領域的初學者。
"這門課對負責任的AI做了非常棒的入門介紹。內容清晰、簡潔..."
"非常簡潔有效的課程,讓我快速掌握了負責任AI的核心概念。"
"解釋得很清楚,讓我對負責任AI的重要性有了初步的認識。"
"我第一次接觸到負責任的AI這個概念,並且用很簡單的方式講解。對於非技術背景的我來說,非常友好。"
學員期望有更多實際案例或深入技術細節來輔助學習。
"如果能有更多實際案例會更好。"
"我期望能有更廣泛的行業視角和深入的技術討論,這方面它並未滿足我的期待。"
"我感覺可以再豐富一些內容,例如更多的案例分析。"
課程內容較為基礎,缺乏進階討論與更廣泛視角。
"內容有點淺,對於已經有AI背景的人來說,可能不會學到太多新東西。"
"課程內容過於基礎,且完全圍繞Google的產品和原則。期望能有更廣泛的行業視角和深入的技術討論..."
"它確實觸及了核心點,但感覺可以再豐富一些內容,例如更多的案例分析。"

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
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

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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.

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.
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 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.
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.
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.
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 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.

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