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Generative AI in the Workplace: Policies, Ethics, and Risks

Generative AI in the Workplace: Policies, Ethics, and Risks

本课程是 Navigating Disruption: Generative AI in the Workplace 专项课程的一部分

位教师：Josh Pasek

包含在中

了解更多

3个模块

深入了解一个主题并学习基础知识。

12 条评论

初级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

12 条评论

初级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Identify ways generative AI algorithms can lead to biases in decision-making
Anticipate implications of a lack of algorithmic transparency for decision-making
Plan proactively to protect data security and user privacy
Consider ethics at every stage of the generative AI decision-making process

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

1 项作业

授课语言：英语（English）

91% of learners achieved a positive career outcome

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

积累特定领域的专业知识

本课程是 Navigating Disruption: Generative AI in the Workplace 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有3个模块

As generative AI finds its place in contemporary organizational practices, it’s important for leaders and workers alike to understand the risk involved with using these systems. In “Generative AI in the Workplace: Policies, Ethics, and Risks,” you’ll consider the hurdles that need to be navigated for effective AI adoption. In this course, you will learn how to identify when uses of AI are appropriate, and better understand challenges in AI ethics and the law. You’ll also explore the transparency of AI algorithms and where the technology is headed in the future.

单元详情

Welcome to the course! In this module, we will begin with an overview of this fourth and final course in the Navigating Disruption series, Generative AI in the Workplace: Policies, Ethics, and Risks. After offering some your concerns related to AI adoption on your workplace, we’ll continue to discuss the inherent risks associated with AI adoption and how industry leading organizations are working to address such risks in their models. Let’s get started!

涵盖的内容

2个视频4篇阅读材料2个讨论话题

In this module, we'll explore the importance of trustworthy AI and how deepfakes threaten to undermine trust in generative AI. We'll then be joined by a guest speaker who will share with us perspectives about how the professionals in law are thinking about the products of AI. We'll close this module with an examination why it is important to ensure that AI models are transparent and can be explained, both for mitigating harms that can be produced and so that users can understand how their queries are being processed.

涵盖的内容

5个视频6篇阅读材料3个讨论话题

5个视频总计44分钟

When Can You Trust an AI Output?6分钟
Considerations When Deciding to Use AI9分钟
AI & the Law15分钟
How Can AI Do Harm?8分钟
Transparency and Explainability7分钟

6篇阅读材料总计75分钟

Dangers Associated with Deepfakes10分钟
Deepfakes Implications for Corporations10分钟
Comparing AI Policies Across Nations20分钟
AI and Copyright Law10分钟
AI and Data Risks10分钟
Explainable AI15分钟

3个讨论话题总计45分钟

Reflection on Deepfakes & Trustworthy AI15分钟
Reflecting on AI Policies15分钟
Reaction to Explainable AI15分钟

In this final module, we'll summarize the key concepts and ideas we've discussed throughout the course. In our final graded assignment, you will revisit you first discussion post in which you shared some of the risks you are concerned about related to AI adoption in your workplace, and offer some perspectives on how your thinking has changed through our course conversations.