Participatory AI for Social Impact

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Participatory AI for Social Impact

This course is part of Realizing AI for Social Impact Specialization

Instructor: Elizabeth Bondi-Kelly

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Recognize the importance of including interested and impacted communities in AI design and development
Describe principles and methods for participatory AI
Develop strategies for overcoming challenges when working with communities

Skills you'll gain

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This course is part of the Realizing AI for Social Impact Specialization

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There are 2 modules in this course

AI is rapidly proliferating across society, but negative impacts can arise when communities and stakeholders are not equally involved in the AI development process. In this course, you’ll learn to critically evaluate AI's societal impact and apply participatory design methods, preparing you to develop ethical and inclusive AI solutions for the future.

"Participatory AI for Social Impact" introduces the core philosophy of designing with rather than for users and other stakeholders. Motivated by analyzing case studies where AI for social impact did not achieve the desired goals in the real world, you will learn to identify participatory AI practices and principles and create your own participatory AI plan. We will also discuss the logistical and ethical nuances of implementing participatory AI for social impact, including working with communities. This course will provide a practical toolkit for developing ethical, inclusive AI solutions that prioritize collaboration and positive social impact. This is the third course in the three-course series, "Realizing AI for Social Impact," where you will explore use cases and frameworks for deploying AI to achieve social impact.

This module illustrates the motivation behind Participatory AI (PAI) by discussing the benefits of inclusive community involvement through real-world case studies. You’ll apply these insights by analyzing interactive scenarios to reflect on how PAI prevents harm and fosters positive social impact.

What's included

2 videos7 readings1 assignment1 app item1 discussion prompt1 plugin

2 videosTotal 12 minutes

What Is Participatory AI?7 minutes
Why Participatory AI?5 minutes

7 readingsTotal 71 minutes

Meet Your Instructor1 minute
Syllabus10 minutes
Pre-Course Survey10 minutes
Optional: Reverse Machine Translation for African Languages20 minutes
Participatory AI in Practice: Case Examples10 minutes
Create Your PAI Plan Overview10 minutes
Create Your PAI Plan, Part 1 Instructions10 minutes

1 assignmentTotal 10 minutes

Module 1 Quiz10 minutes

1 app itemTotal 10 minutes

Submit Your PAI Plan, Part 110 minutes

1 discussion promptTotal 10 minutes

Would You Let AI Change Your Space?10 minutes

1 pluginTotal 15 minutes

Is this Participatory AI?15 minutes

This module synthesizes Participatory AI (PAI) principles from key academic surveys and successful case studies, guiding learners to analyze how these principles drive real-world success. Through scenario-based planning, learners will apply these frameworks to their own projects by identifying relevant communities, designing engagement strategies (such as relationship-building and compensation), and developing concrete plans to mitigate potential challenges.

What's included

4 videos9 readings1 assignment2 app items1 discussion prompt

4 videosTotal 25 minutes

Overview of Participatory AI Principles6 minutes
Applying Participatory AI in Real World5 minutes
Challenges in Participatory AI for Social Impact7 minutes
Considerations for Working with Communities7 minutes

9 readingsTotal 100 minutes

Foundational Research on PAI Principles15 minutes
Create Your PAI Plan, Part 2 Instructions10 minutes
Summary of Challenges in PAI10 minutes
Summary of Considerations for Working with Communities10 minutes
Examples of Working with Communities15 minutes
Create Your PAI Plan, Part 3 Instructions10 minutes
Acknowledgements10 minutes
Post-Course Survey10 minutes
Keep Learning with Michigan Online10 minutes

1 assignmentTotal 10 minutes

Module 2 Quiz10 minutes

2 app itemsTotal 20 minutes

Submit Your PAI Plan, Part 210 minutes
Submit Your PAI Plan, Part 310 minutes

1 discussion promptTotal 10 minutes

When Does Participation Become Difficult?10 minutes

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Instructor

Elizabeth Bondi-Kelly

University of Michigan

0 Courses0 learners

Offered by

University of Michigan

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