Responsible AI for Digital Leaders with Google Cloud

位教师：Google Cloud Training

访问权限由 New York State Department of Labor 提供

4个模块

深入了解一个主题并学习基础知识。

初级等级

无需具备相关经验

2 小时完成

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

初级等级

无需具备相关经验

2 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Explain the business case for responsible AI.
Identify ethical considerations with AI using issue spotting best practices.
Describe how Google developed and put their AI Principles into practice and leverage their lessons learned.
Adopt a framework for how to operationalize responsible AI in your organization.

您将获得的技能

您将学习的工具

Generative AI

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

3 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有4个模块

This course equips learners with the essential knowledge and practical tools to develop and implement artificial intelligence (AI) responsibly. Through an exploration of ethical considerations, best practices, and governance procedures, participants will gain an understanding of how to navigate the complex landscape of AI while upholding ethical standards and minimizing potential risks.

This module introduces the concept of responsible AI and covers why there is a need for a robust responsible AI review process, as well as Google's 7 AI principles.

涵盖的内容

1个视频1个作业

This module covers ethical issues that can arise with generative AI solutions and how to address them. It also explains the aim of each of Google's AI principles and key takeaways from Google's process of operationalizing AI principles.

涵盖的内容

4个视频1个作业

This module describes common misconceptions about responsible AI governance, how to ask good questions to spot potential ethical issues with an AI solution, and the review bodies within Google's AI governance process.