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Google Cloud Training
"随着企业对人工智能和机器学习的应用越来越广泛，以负责任的方式构建这些技术也变得更加重要。但对很多企业而言，真正践行 Responsible AI 并非易事。如果您有意了解如何在组织内践行 Responsible AI，本课程正适合您。
本课程将介绍 Google Cloud 目前如何践行 Responsible AI，以及从中总结的最佳实践和经验教训，便于您以此为框架构建自己的 Responsible AI 方法。"
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OpenCourser.com/course/nu4qmo/responsible
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What's inside
Syllabus
简介
此单元将介绍 AI 技术的影响、Google 践行 Responsible AI 的方法，以及 Google 的 AI 原则。
Responsible AI 的业务案例
此单元将介绍如何根据经济学人智库 (Economist Intelligence Unit) 的《从设计上保证遵守道德规范的业务案例》(The Business Case for Ethics by Design) 报告来制定 Responsible AI 的业务案例。
Read more
Syllabus
简介
此单元将介绍 AI 技术的影响、Google 践行 Responsible AI 的方法，以及 Google 的 AI 原则。
Responsible AI 的业务案例
此单元将介绍如何根据经济学人智库 (Economist Intelligence Unit) 的《从设计上保证遵守道德规范的业务案例》(The Business Case for Ethics by Design) 报告来制定 Responsible AI 的业务案例。
Read more
AI 的技术注意事项和道德问题
此单元将介绍道德困境，以及生成式 AI 等新兴技术如何凸显亟待解决的道德问题。
制定 AI 原则
此单元将介绍 Google 如何制定 AI 原则，并探索每项原则致力于实现的道德目标。
践行 AI 原则：设定和执行审核
此单元将介绍 Responsible AI 的实际应用，以及如何通过设定和执行审核来践行 AI 原则。
践行 AI 原则：发现问题和总结经验
此单元将介绍如何发现可能的道德问题，并了解可通过什么问题来针对用例潜在的优缺点进行批判性的思考。
继续探索 Responsible AI 旅程
此单元将介绍持续探索 Responsible AI 的后续步骤和可供使用的资源。
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores core concepts of Responsible AI and its importance in today's business environment
Provides a comprehensive overview of Google's approach to Responsible AI, offering insights into best practices and lessons learned
Develops a framework for participants to build a Responsible AI approach within their organization
Introduces emerging technologies like generative AI and highlights the ethical challenges that need to be addressed
Shares practical strategies for implementing AI principles, including setting up audits and reviews
Provides resources and guidance for participants to continue their exploration of Responsible AI
Save this course
Save Responsible AI: Applying AI Principles with GC - 简体中文 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 Responsible AI: Applying AI Principles with GC - 简体中文 with these
activities:
寻找 Responsible AI 导师
Show steps
建立与 Responsible AI 专业人士的联系，获得指导和反馈，以增强您的学习。
Show steps
-
出席活动和会议，与 Responsible AI 专家建立联系。
-
通过电子邮件或LinkedIn 与行业领先者联系，寻求指导机会。
-
加入在线社区和论坛，与其他 Responsible AI 从业者互动。
探索 Responsible AI 框架
Show steps
通过在线教程和资源，深入了解 Responsible AI 框架及其在不同行业的应用。
Browse courses on
Responsible AI
Show steps
-
浏览 Google AI Principles、微软人工智能原则等行业领先的 AI 原则。
-
参加在线课程或研讨会，了解 Responsible AI 实践的最佳实践。
-
研究 Responsible AI 评估工具和方法，如 AI Fairness 360。
成立 Responsible AI 研究小组
Show steps
通过与同学合作，探索 Responsible AI 的不同方面，并获得多种观点。
Show steps
-
召集一个由学生、研究人员或从业者组成的研究小组。
-
选择一个 Responsible AI 主题进行研究和讨论。
-
定期开会，分享见解，并就研究发现进行辩论。
One other activity
Expand to see all activities and additional details
Show all four activities
参加 Responsible AI 黑客马拉松或挑战
Show steps
在团队环境中解决实际的 Responsible AI 问题，展示您的技能并获得反馈。
Show steps
-
寻找 Responsible AI 黑客马拉松或挑战，专注于您感兴趣的领域。
-
组建一个团队，共同应对挑战，提出创新解决方案。
-
根据 Responsible AI 原则和最佳实践，设计和实施您的解决方案。
寻找 Responsible AI 导师
Show steps
建立与 Responsible AI 专业人士的联系，获得指导和反馈，以增强您的学习。
Show steps
Show steps
Show steps
- 出席活动和会议，与 Responsible AI 专家建立联系。
- 通过电子邮件或LinkedIn 与行业领先者联系，寻求指导机会。
- 加入在线社区和论坛，与其他 Responsible AI 从业者互动。
探索 Responsible AI 框架
Show steps
通过在线教程和资源，深入了解 Responsible AI 框架及其在不同行业的应用。
Browse courses on
Responsible AI
Show steps
Show steps
Show steps
- 浏览 Google AI Principles、微软人工智能原则等行业领先的 AI 原则。
- 参加在线课程或研讨会，了解 Responsible AI 实践的最佳实践。
- 研究 Responsible AI 评估工具和方法，如 AI Fairness 360。
成立 Responsible AI 研究小组
Show steps
通过与同学合作，探索 Responsible AI 的不同方面，并获得多种观点。
Show steps
Show steps
Show steps
- 召集一个由学生、研究人员或从业者组成的研究小组。
- 选择一个 Responsible AI 主题进行研究和讨论。
- 定期开会，分享见解，并就研究发现进行辩论。
One other activity
Expand to see all activities and additional details
Show all four activities
参加 Responsible AI 黑客马拉松或挑战
Show steps
在团队环境中解决实际的 Responsible AI 问题，展示您的技能并获得反馈。
Show steps
Show steps
Show steps
- 寻找 Responsible AI 黑客马拉松或挑战，专注于您感兴趣的领域。
- 组建一个团队，共同应对挑战，提出创新解决方案。
- 根据 Responsible AI 原则和最佳实践，设计和实施您的解决方案。
Career center
Learners who complete Responsible AI: Applying AI Principles with GC - 简体中文 will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying machine learning models. This course provides a strong foundation in the principles of Responsible AI, which are essential for ensuring that machine learning models are used in a responsible and ethical manner. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Machine Learning Engineers build and deploy machine learning models that are fair, unbiased, and beneficial to society.
Data Scientist
Data Scientist
Data Scientists use data to build models that can make predictions or recommendations. This course provides a strong foundation in the principles of Responsible AI, which are essential for ensuring that data science models are used in a responsible and ethical manner. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Data Scientists build and deploy data science models that are fair, unbiased, and beneficial to society.
AI Engineer
AI Engineer
AI Engineers are responsible for designing, developing, and deploying AI systems. This course provides a strong foundation in the principles of Responsible AI, which are essential for ensuring that AI systems are used in a responsible and ethical manner. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help AI Engineers build and deploy AI systems that are fair, unbiased, and beneficial to society.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and deploying software systems. This course provides a strong foundation in the principles of Responsible AI, which are essential for ensuring that software systems are used in a responsible and ethical manner. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Software Engineers build and deploy software systems that are fair, unbiased, and beneficial to society.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of new products. This course provides a strong foundation in the principles of Responsible AI, which are essential for ensuring that new products are developed and launched in a responsible and ethical manner. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Product Managers develop and launch new products that are fair, unbiased, and beneficial to society.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business needs and developing solutions to meet those needs. This course provides a strong foundation in the principles of Responsible AI, which are essential for ensuring that business solutions are developed and implemented in a responsible and ethical manner. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Business Analysts develop and implement business solutions that are fair, unbiased, and beneficial to society.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course provides a strong foundation in the principles of Responsible AI, which are essential for ensuring that data analysis is conducted in a responsible and ethical manner. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Data Analysts conduct data analysis that is fair, unbiased, and beneficial to society.
Project Manager
Project Manager
Project Managers are responsible for planning and executing projects. This course may be useful for Project Managers who are working on AI projects. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Project Managers plan and execute AI projects in a responsible and ethical manner.
Consultant
Consultant
Consultants provide advice and support to businesses on a variety of topics. This course may be useful for Consultants who are working with businesses on AI projects. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Consultants provide advice and support to businesses on how to use AI in a responsible and ethical manner.
Technical Writer
Technical Writer
Technical Writers are responsible for creating documentation for software and other technical products. This course may be useful for Technical Writers who are writing documentation for AI products. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Technical Writers create documentation that is clear, concise, and informative about the responsible use of AI.
Marketer
Marketer
Marketers are responsible for developing and implementing marketing campaigns. This course may be useful for Marketers who are working on marketing campaigns for AI products. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Marketers develop and implement marketing campaigns that promote the responsible use of AI.
Salesperson
Salesperson
Salespeople are responsible for selling products and services to customers. This course may be useful for Salespeople who are selling AI products. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Salespeople sell AI products in a responsible and ethical manner.
Customer Service Representative
Customer Service Representative
Customer Service Representatives are responsible for providing support to customers. This course may be useful for Customer Service Representatives who are supporting customers who are using AI products. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Customer Service Representatives provide support to customers in a responsible and ethical manner.
Recruiter
Recruiter
Recruiters are responsible for finding and hiring new employees. This course may be useful for Recruiters who are hiring for AI positions. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Recruiters find and hire candidates who are qualified in AI and who are committed to using AI in a responsible and ethical manner.
Lawyer
Lawyer
Lawyers are responsible for providing legal advice to clients. This course may be useful for Lawyers who are working on cases involving AI. The course covers topics such as the business case for Responsible AI, the technical considerations and ethical issues involved in AI development, and how to establish and implement AI principles. This knowledge can help Lawyers provide legal advice to clients on how to use AI in a responsible and ethical manner.
For more career information including salaries, visit:
OpenCourser.com/course/nu4qmo/responsible
Reading list
We've selected five 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 - 简体中文.
本书提供了一个关于人工智能伦理的哲学视角。它探讨了人工智能系统中的主要伦理问题，并提供了应对这些问题的道德框架。
此书探讨了人工智能的道德影响，并提出了一种人工智能伦理框架。非常适合希望了解人工智能的道德影响并思考如何负责任地开发和部署人工智能系统的人。
此书是机器学习领域的一本高级教科书，涵盖了机器学习的概率基础。非常适合希望建立机器学习基础知识的人。
Save
此书是深度学习领域的经典教科书，涵盖了深度学习的基础知识。非常适合希望建立深度学习基础知识的人。
这本书探讨了人工智能对可持续发展的潜在影响，包括应对气候变化、消除贫困和促进和平等目标。它提供了一个视角，了解人工智能如何用于解决全球挑战。
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nu4qmo/responsible
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
中文
Transcript
English
Good to know
Explores core concepts of Responsible AI and its importance in today's business environment
Provides a comprehensive overview of Google's approach to Responsible AI, offering insights into best practices and lessons learned
Develops a framework for participants to build a Responsible AI approach within their organization
Introduces emerging technologies like generative AI and highlights the ethical challenges that need to be addressed
Shares practical strategies for implementing AI principles, including setting up audits and reviews
Provides resources and guidance for participants to continue their exploration of Responsible AI
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