AI for Good: Transforming Nonprofit Operations
Discover innovative ways to leverage artificial intelligence technologies for improving efficiency and social impact in mission-driven organizations.
Discover innovative ways to leverage artificial intelligence technologies for improving efficiency and social impact in mission-driven organizations.
This course explores how social impact organizations can leverage generative AI to overcome resource constraints and boost efficiency. You'll learn practical applications of AI for automating routine tasks, content creation, and improving service delivery. The curriculum covers AI integration strategies, ethical considerations, and upskilling opportunities. Through hands-on activities and real-world examples, you'll develop skills to implement AI solutions that free up staff capacity for mission-critical work. Whether you're a nonprofit leader, social entrepreneur, or impact-driven professional, this course equips you with the knowledge to strategically adopt AI tools and drive greater social impact.
Instructors:
English
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What you'll learn
Understand the key capabilities of generative AI beneficial to social impact organizations
Identify specific AI applications to adopt in your organization's operations
Develop effective prompts and strategies for AI-assisted content creation
Learn to integrate AI tools into existing organizational workflows
Create a prompt catalog for consistent AI usage across your organization
Understand how to use AI for ongoing learning and service improvement
Skills you'll gain
This course includes:
49 Minutes PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides a comprehensive introduction to leveraging generative AI in social impact organizations. Students will gain practical knowledge on how AI tools can address common resource constraints and improve operational efficiency. The curriculum covers key areas where AI can make a significant impact, including automating routine tasks, content creation, and enhancing service delivery. Participants will learn strategies for integrating AI into existing workflows, creating effective prompts, and developing an organizational AI strategy. The course also addresses critical aspects of upskilling staff and ethical considerations in AI implementation. Through a combination of lectures, guided activities, and real-world examples, learners will develop the skills to identify and implement AI solutions that can free up staff capacity for mission-critical activities. By the end of the course, students will be equipped to strategically adopt AI tools to drive greater social impact in their organizations.
Getting Started
Module 1 · 1 Hours to complete
Content Generation & Creation
Module 2 · 1 Hours to complete
AI Workflows & Content Management
Module 3 · 0 Hours to complete
Upskilling & Improvement
Module 4 · 0 Hours to complete
Considerations for Ethical Use
Module 5 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Advocate for Community-Based Organizations and Social Entrepreneurship
Barb Hiltz is a Clinical Assistant Professor at the University of Michigan School of Social Work, where she leverages her expertise as a licensed social worker (LMSW) and holds an EdM in Education Policy, Organization, and Leadership, focusing on diversity and equity in education. Her work emphasizes the sustainability of community-based organizations, exploring the impacts of innovation, social enterprise, and social entrepreneurship on social service delivery. With over two decades of experience in interpersonal, community, and administrative practice, Hiltz has also held leadership roles, including executive director of a domestic abuse program in St. Louis, MO, and a cancer support organization in Ann Arbor, MI. Notably, she co-founded The Brides Project in 2011, a social enterprise aimed at funding cancer support services.
Enhancing Social Work through Data and Technology
Brian E. Perron, PhD, serves as a Professor at the University of Michigan School of Social Work, where he focuses on empowering community-based organizations to enhance service delivery and business operations through effective data utilization. His work encompasses the development of user-friendly data management systems, the creation of interactive data visualizations for easier comprehension by non-technical users, and the strengthening of organizational capabilities to support data-driven decision-making. Perron is actively involved with the Child & Adolescent Data Lab, investigating services aimed at improving outcomes for vulnerable youth and families within the child welfare system. His research has garnered support from notable institutions, including the National Institutes of Health and the Department of Veterans Affairs. He is also keenly interested in the ethical implications of artificial intelligence in social work and explores how machine learning and natural language processing can enhance understanding in this field. Committed to education, Perron is dedicated to teaching research and data analysis, particularly for students with limited math skills, and he brings extensive experience in teaching the diagnosis and treatment of mental health and substance use disorders. Additionally, he engages in MOOCs to stay updated with rapid technological advancements.
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