Leveraging Generative AI for Social Impact Organizations focuses on the issue of resource scarcity commonly faced by social impact organizations and how generative AI tools can help free up limited staff capacity from routine administrative tasks. Social impact organizations often find themselves overwhelmed by repeatedly responding to common inquiries, data management and documentation needs, and other basic functions that limit their ability to fully devote time to core programming and service delivery. In this course, you’ll learn concrete examples of how AI could improve efficiency in areas like automatically answering frequently asked questions, converting information requests into readable reports, or drafting, designing, and distributing communications materials. Gain insight into key opportunities to leverage AI to expand your organization’s bandwidth for mission-critical activities. The course also explores the limitations and ethical considerations of relying on generative AI versus human judgment and nuanced interactions in social programming.
Recommended experience
What you'll learn
Understand key capabilities of generative AI that would benefit social impact organizations
Identify specific generative AI applications you can adopt in your social impact organizations
Learn the potential limitations and ethical implications that using AI could have for your organization and other social impact organizations
Skills you'll gain
Details to know
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May 2024
6 assignments
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There are 5 modules in this course
Module 1 covers the foundational knowledge necessary for integrating Generative AI tools into social impact organizations, focusing on understanding AI's importance, effective prompting, and identifying AI's potential applications.
What's included
3 videos6 readings1 assignment
Module 2 explores the diverse applications of Generative AI in content generation, illustrating how these tools can be adapted to various contexts within social impact organizations. It enhances learners’ understanding of effective AI usage through lecture videos, guided activities and a detailed prompting guide.
What's included
1 video2 readings2 assignments1 app item
Module 3 addresses the challenges and strategies associated with integrating AI into existing organizational workflows, offering insights through lectures and guided activities.
What's included
3 videos2 readings1 assignment
Module 4 focuses on using Generative AI for ongoing learning and service improvement. It builds learners’ ability to effectively utilize Generative AI through a combination of lecture videos, readings, and guided activities.
What's included
1 video3 readings1 assignment
Module 5 examines the ethical considerations and responsible use of Generative AI within social impact organizations, featuring discussions through videos, a podcast, and readings that guide the refinement of the organizational plan with a focus on responsible AI use.
What's included
2 videos4 readings1 assignment1 app item
Instructors
Offered by
Recommended if you're interested in Leadership and Management
University of Michigan
DeepLearning.AI
University of Michigan
Fractal Analytics
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