University of Michigan

Realizing AI for Social Impact Specialization

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University of Michigan

Realizing AI for Social Impact Specialization

Practical & Ethical Approaches for Deploying AI.

Apply practical and ethical frameworks when using AI to support real-world challenges.

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Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn critical areas where AI can serve as a powerful tool for social impact

  • Identify algorithmic, practical, and ethical considerations when developing AI for social impact

  • Describe principles and methods for building AI with interested and impacted communities

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Taught in English
Recently updated!

June 2026

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Specialization - 3 course series

Defining AI for Social Impact

Defining AI for Social Impact

Course 1, 4 hours

What you'll learn

  • Learn critical areas where AI can serve as a powerful tool for social impact

  • Identify algorithmic, practical, and ethical considerations when developing AI for social impact

  • Recognize bias, fairness, and misinformation in AI

  • Identify reputable source material, ensuring solutions are trustworthy

Skills you'll gain

Category: Research Reports
Category: Socioeconomics
Category: Artificial Intelligence
Category: Environmental Monitoring
Category: Social Impact
Practical AI for Social Impact

Practical AI for Social Impact

Course 2, 4 hours

What you'll learn

  • Explain the foundational concepts of real-world modeling that influence which AI techniques we can use in AI for social impact scenarios

  • Describe several AI algorithmic techniques frequently used in AI for social impact, and when they are used

  • Identify practical considerations when deploying these algorithms

Skills you'll gain

Category: Case Studies
Category: Social Impact
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Responsible AI
Category: Machine Learning Algorithms
Category: Data Ethics
Category: Artificial Intelligence
Category: Model Deployment
Category: Applied Machine Learning
Category: AI literacy
Category: Reinforcement Learning
Category: Decision Intelligence
Category: Machine Learning
Category: Algorithms
Participatory AI for Social Impact

Participatory AI for Social Impact

Course 3, 5 hours

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

Category: Responsible AI
Category: Scenario Testing
Category: Case Studies
Category: Community Development
Category: Human Centered Design
Category: Social Impact
Category: Design Thinking
Category: AI literacy
Category: Community Outreach

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Instructor

Elizabeth Bondi-Kelly
University of Michigan
3 Courses56 learners

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