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.
Generative AI in the Workplace: Policies, Ethics, and Risks
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Generative AI in the Workplace: Policies, Ethics, and Risks
This course is part of Navigating Disruption: Generative AI in the Workplace Specialization
Instructor: Josh Pasek
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
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
Skills you'll gain
Details to know
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Recently updated!
November 2024
Assessments
1 assignment
Taught in English
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This course is part of the Navigating Disruption: Generative AI in the Workplace Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
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!
What's included
2 videos4 readings2 discussion prompts
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.
What's included
5 videos6 readings3 discussion prompts
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.
What's included
4 videos5 readings1 assignment1 discussion prompt
Instructor
4 Courses131 learners
Offered by
Recommended if you're interested in Business Essentials
University of Michigan
University of Michigan
Northeastern University
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