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Responsible AI

Applying AI Principles with GC - 简体中文

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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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。

Traffic lights

Read about what's good

what should give you pause

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

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Reviews summary

负责任ai原则与谷歌云实践

根据学生反馈，本课程在负责任AI领域提供了实用且清晰的入门指南。学员普遍认为课程内容及时且高度相关，尤其是在AI技术飞速发展的当下。课程结合了谷歌云的实践经验与AI原则，对于希望在组织内落地AI伦理的专业人士极具价值。尽管部分学员认为课程对已有经验者而言深度略显不足，且实践案例可更具体，但其对复杂概念的通俗讲解和可操作性框架仍使其成为负责任AI的优秀入门课程。

课程内容紧跟AI发展前沿，具有高度时代性。

"课程质量上乘，非常及时。在AI发展如此迅猛的今天，负责任地开发和部署AI至关重要。"

"特别是生成式AI部分，让我对新兴技术带来的挑战有了更深的认识。"

"我觉得课程内容非常有前瞻性，对理解当前AI伦理的重要性帮助很大。"

将复杂的AI伦理概念解释得通俗易懂。

"第一次接触负责任AI这个概念，课程用通俗易懂的语言解释了复杂的伦理问题和技术考量。"

"负责任AI的入门佳作！概念讲解清晰，案例适度，让我对AI伦理有了全面的认识。"

"课程为负责任AI提供了一个很好的概览。内容组织有序，讲解清晰。"

提供了在组织内实施负责任AI的实用框架。

"本课程内容非常实用，深入浅出地讲解了负责任AI的核心原则。我发现其中关于如何在组织内落地AI原则和设置审计的章节尤其有价值。"

"非常棒的课程，尤其是对于想要在企业内部推动负责任AI实践的人来说。提供了可操作的框架和宝贵的经验教训。"

"我学习到了如何在实际工作中践行AI原则，特别是设定和执行审核的方法。"

理论性强，缺少具体的实操演练和案例分析。

"虽然课程介绍了谷歌的AI原则，但感觉实践部分略显空泛，没有太多具体的操作指南。"

"课程主题很重要，但感觉讲解上还是偏理论，实际案例不足。希望谷歌能分享更多他们在实践中遇到的具体挑战和解决方案。"

"如果能有更多关于非谷歌云环境下的实践案例会更好。"

对于已有AI伦理背景的学员可能深度不足。

"对于已经有一定AI伦理背景的人来说，可能有些内容偏基础。希望未来能加入更多深度案例分析。"

"我对AI伦理有较深的了解，希望通过课程学习更高级的实践和挑战。然而，课程内容更偏向于介绍性，没有达到我的预期深度。"

"我感觉课程更适合完全的初学者，对于进阶学习者来说，可能需要更多的理论延伸和实操细节。"

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

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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。

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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

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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

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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

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通过与同学合作，探索 Responsible AI 的不同方面，并获得多种观点。

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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

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参加 Responsible AI 黑客马拉松或挑战

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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。

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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 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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for AI 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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Business 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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Consultant

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.

See salaries and explore the career path for Technical Writer

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.

See salaries and explore the career path for Marketer

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.

See salaries and explore the career path for Salesperson

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.

See salaries and explore the career path for Customer Service Representative

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.

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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.

See salaries and explore the career path for Lawyer

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.