Coffee Break - Ethical AI Use in Nonprofits Registration Closed

As generative AI technologies have become more readily available, nonprofit organizations are uniquely positioned to harness their immense potential to broaden their impact on communities. As nonprofits begin to integrate generative AI into their work, it will be important for them to be thoughtful about the ethical implications of the tools and the impacts that they may have on their communities.

In this coffee break webinar, our subject matter expert explores the complexities of ethical data use in the fast-evolving landscape of artificial intelligence tools and the guardrails nonprofits should consider when engaging with AI to ensure they do so in an ethical, responsible, and safe way.

So, pour yourself a cup of coffee and enjoy the discussion.

This is a live-only webinar that will not be recorded.

Our Instructor

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Ryan Harrington
Director of Strategy and Operations for the Data Innovation Lab, Tech Impact

Ryan Harrington is the Director of Strategy and Operations for the Data Innovation Lab (DIL) at Tech Impact where he focuses on developing data science projects for social good. Previously, Ryan was the lead data scientist at CompassRed Data Labs, a data science and analytics consulting firm where his focus was on developing models using a combination of statistical methods and machine learning techniques. Outside of work, he co-founded and co-organized Open Data Delaware, an organization dedicated to improving data transparency within government institutions and applying data and technology to solve civic problems. 

Harrington holds a B.S in environmental and business economics from Rutgers University and an M.S. in business analytics from Drexel University. Prior to his work as a data scientist, he was a high school math teacher through Teach for America and spent time building Delaware’s entrepreneurial ecosystem at 1313 Innovation. Outside of work he enjoys Euro-style boardgames, attempting to woodwork, and travel - from Zion to Zanzibar. 

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