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Responsible AI
Applying AI Principles with GC - 繁體中文
Google Cloud Training
Google Cloud Training
隨著企業持續擴大使用人工智慧和機器學習，以負責任的方式發展相關技術也日益重要。對許多企業來說，談論負責任的 AI 技術可能不難，如何付諸實行才是真正的挑戰。如要瞭解如何在機構中導入負責任的 AI 技術，本課程絕對能助您一臂之力。
您可以從中瞭解 Google Cloud 目前採取的策略、最佳做法和經驗談，協助貴機構奠定良好基礎，實踐負責任的 AI 技術。
Register for this course and see more details by visiting:
OpenCourser.com/course/dar3s8/responsible
What's inside
Syllabus
簡介
您可從本單元瞭解 AI 技術的影響、Google 負責任的 AI 技術做法及 AI 開發原則。
負責任 AI 技術的商業論點
您可從本單元瞭解如何依據經濟學人智庫的《The Business Case for Ethics by Design》(打造倫理的商業論點) 報告，為負責任的 AI 技術提出商業論點。
Read more
Syllabus
簡介
您可從本單元瞭解 AI 技術的影響、Google 負責任的 AI 技術做法及 AI 開發原則。
負責任 AI 技術的商業論點
您可從本單元瞭解如何依據經濟學人智庫的《The Business Case for Ethics by Design》(打造倫理的商業論點) 報告，為負責任的 AI 技術提出商業論點。
Read more
AI 的技術考量和倫理問題
您可從本單元瞭解目前的倫理難題，以及生成式 AI 等新興技術可能造成哪些必須解決的倫理問題。
擬定 AI 開發原則
您可從本單元瞭解 Google 如何擬定 AI 開發原則，並探索這些開發原則追求的倫理目標。
採取 AI 開發原則：設定並執行審查
在本單元中，您將瞭解負責任 AI 技術的實際應用方式，並學習如何藉由設定和執行審查來採取 AI 開發原則。
採取 AI 開發原則：問題偵測流程和經驗談
您可從本單元瞭解潛在倫理問題的辨識流程，掌握哪些詢問方式可以找出問題，以批判性思維衡量應用實例可能帶來的益處和壞處。
繼續推行負責任的 AI 技術做法
您可從本單元瞭解後續步驟並取得實用資源，以繼續推行負責任的 AI 技術做法。
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
此課程由 Google Cloud 的培訓人員授課，他們在人工智慧和機器學習領域擁有豐富的經驗。
此課程提供實務應用，協助您將負責任的 AI 技術導入您的組織中。
此課程提供了評估和經驗分享的實際案例，可供您參考。
此課程有助於您培養業界急需的負責任 AI 技術技能。
此課程由經濟學人智庫的資料支持，可為您的負責任 AI 商業論點提供佐證。
此課程探討生成式 AI 等新興技術可能引發的倫理挑戰。
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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 Responsible AI: Applying AI Principles with GC - 繁體中文 with these
activities:
整理 AI 伦理最佳实践和资源
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整理人工智能伦理最佳实践和资源将有助于您建立一个有用的参考，以便在工作中或其他课程中继续学习和应用这些原则。
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收集来自各种来源的 AI 伦理最佳实践和资源
-
组织和归类这些资料以供以后参考
Show all one activities
整理 AI 伦理最佳实践和资源
Show steps
整理人工智能伦理最佳实践和资源将有助于您建立一个有用的参考，以便在工作中或其他课程中继续学习和应用这些原则。
Show steps
Show steps
Show steps
- 收集来自各种来源的 AI 伦理最佳实践和资源
- 组织和归类这些资料以供以后参考
Show all one activities
Career center
Learners who complete Responsible AI: Applying AI Principles with GC - 繁體中文 will develop knowledge and skills
that may be useful to these careers:
AI Ethicist
AI Ethicist
AI Ethicists are responsible for developing and implementing ethical guidelines for the development and use of AI. This course may be useful for AI Ethicists who are working to develop ethical frameworks for AI. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help AI Ethicists to develop more robust and ethical AI guidelines.
AI Policy Advisor
AI Policy Advisor
AI Policy Advisors advise policymakers on the development and implementation of AI policies. This course may be useful for AI Policy Advisors who are working to develop AI policies that are ethical and responsible. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help AI Policy Advisors to develop more informed and effective AI policies.
Data Protection Officer
Data Protection Officer
Data Protection Officers are responsible for ensuring that organizations comply with data protection laws and regulations. This course may be useful for Data Protection Officers who are working to ensure that AI systems are used in a responsible and ethical manner. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Data Protection Officers to develop more effective data protection policies and practices.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures. This course may be useful for Data Governance Analysts who are working to ensure that AI systems are used in a responsible and ethical manner. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Data Governance Analysts to develop more effective data governance policies.
AI Researcher
AI Researcher
AI Researchers develop new AI algorithms and techniques. This course may be useful for AI Researchers who are working to develop AI algorithms that are ethical and responsible. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help AI Researchers to develop more responsible and ethical AI algorithms.
Enterprise Architect
Enterprise Architect
Enterprise Architects design and implement IT systems for organizations. This course may be useful for Enterprise Architects who are working to design and implement AI systems. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Enterprise Architects to design and implement more responsible and ethical AI systems.
Ethical Hacker
Ethical Hacker
Ethical Hackers identify security vulnerabilities in computer systems and networks. This course may be useful for Ethical Hackers who are working to ensure that AI systems are secure and resilient. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Ethical Hackers to develop more effective security measures for AI systems.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. This course may be useful for Machine Learning Engineers who are responsible for developing, deploying, and monitoring AI models. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Machine Learning Engineers to create more responsible and ethical AI solutions.
Data Scientist
Data Scientist
Data Scientists use scientific methods to extract knowledge and insights from data. This course may be useful for Data Scientists who are responsible for developing, deploying, and monitoring AI models. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Data Scientists to create more responsible and ethical AI solutions.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who are working on AI projects. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Software Engineers to create more responsible and ethical AI systems.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of new products and features. This course may be useful for Product Managers who are working on AI products. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Product Managers to create more responsible and ethical AI products.
Risk Manager
Risk Manager
Risk Managers identify and assess risks to organizations. This course may be useful for Risk Managers who are working to assess the risks of AI systems. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Risk Managers to develop more effective risk management strategies for AI systems.
Innovation Manager
Innovation Manager
Innovation Managers oversee the development and implementation of new products and services. This course may be useful for Innovation Managers who are working on AI products and services. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Innovation Managers to develop more responsible and ethical AI products and services.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business processes and recommending solutions to improve efficiency and effectiveness. This course may be useful for Business Analysts who are working on AI projects. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Business Analysts to make more informed decisions about the use of AI in business.
Data Analyst
Data Analyst
Data Analysts provide contextual, timely, and accurate data to help a variety of stakeholders make more informed decisions. This course may be useful for Data Analysts who wish to understand the ethical implications of the AI models and algorithms that are deployed in their organization. The course covers a variety of topics, including the ethical principles of AI development, the potential risks and benefits of AI, and how to mitigate the risks of AI bias. This knowledge can help Data Analysts to create more responsible and ethical AI solutions.
For more career information including salaries, visit:
OpenCourser.com/course/dar3s8/responsible
Reading list
We've selected nine 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
Responsible AI: Applying AI Principles with GC - 繁體中文.
Provides a clear and concise introduction to AI, covering topics such as the history of AI, the different types of AI, and the potential benefits and risks of AI.
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Comprehensive guide to deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks.
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Provides a practical guide to using AI in business, covering topics such as how to identify AI opportunities, how to build AI teams, and how to measure the success of AI projects.
Explores the ethical issues surrounding AI, such as the potential for AI to discriminate against certain groups of people, the threat of AI to human jobs, and the question of whether AI can be held morally responsible for its actions.
Save
Explores the potential future of humanity, including the role that AI will play in shaping our future.
Explores the potential future of humanity, including the role that AI will play in shaping our future.
Save
Explores the potential future of humanity, including the role that AI will play in shaping our future.
Save
Explores the potential future of humanity, including the role that AI will play in shaping our future.
Save
Explores the potential future of humanity, including the role that AI will play in shaping our future.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dar3s8/responsible
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
中文
Transcript
English
Good to know
此課程由 Google Cloud 的培訓人員授課，他們在人工智慧和機器學習領域擁有豐富的經驗。
此課程提供實務應用，協助您將負責任的 AI 技術導入您的組織中。
此課程提供了評估和經驗分享的實際案例，可供您參考。
此課程有助於您培養業界急需的負責任 AI 技術技能。
此課程由經濟學人智庫的資料支持，可為您的負責任 AI 商業論點提供佐證。
此課程探討生成式 AI 等新興技術可能引發的倫理挑戰。
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