AI4G_AI for Good Framework and Guide
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Contact: leila.toplic@nethope.org
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BACKGROUND: This framework was developed by NetHope's Emerging Technologies Working Group in collaboration with the University of California (Irvine), USAID and MIT.
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Framework is based on the input from global NGOs, lessons learned from past / current AI for Good projects and pilots, and insights from tech experts.
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Framework was tested at the AI workshop at ICT4D Conference in Uganda (May 3, 2019) with 40+ practitioners (NGOs, UN agencies), AI for Good Global Summit at the UN in Geneva (May 31, 2019), and current practical implementations.
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NEXT STEPS:
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October: Test the framework in the hands-on session at NetHope Global Summit in Puerto Rico. Gather feedback and iterate.
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Package up the framework for different end-users and make it available broadly via NetHope Solution Center, Pluralsight course, workshops, ITU, and other channels.
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Key questions to cover when presenting a practical implementation of AI in social impact space or when hosting a workshop:
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What problem are you trying to solve?
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How is the problem being addressed today?
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Why is AI better than the current solution?
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What is the solution?
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What kinds of data does your solution need (e.g., audio, image, video, text)? Where and how are you getting these data?
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What resources (technical and non-technical) do you need to support the development, implementation, and maintenance of the solution?
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What are the potential biases that AI may introduce or amplify in your context?
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What is your approach to maintaining the solution?
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Other resources: Repository of AI/ML tools, services, training:
http://bit.ly/AI4Gtools
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