Getting a comprehensive project plan in place is important for the success of any new project, and your organization likely already has its own established processes for building and executing on a plan. We won’t focus on the project management aspects so much as how to plan for the more AI-specific components. Think: how to build the right technical team, budgeting for AI-specific infrastructure, auditing for potential biases, or planning the steps in model training, testing, deployment, and monitoring. With a solid AI project plan in place you can feel more secure that you’re upholding social responsibility principles when your AI solution goes out into the world.
PJMF has not developed content for this module yet, but let us know you’re interested, and we’ll keep you in the loop if/when it’s released.
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How can we ensure that we're pursuing solutions that are deeply rooted in the problem at hand, taking a people-first rather than a tech-first approach?
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How do we navigate the decision to build something custom vs. leverage an off-the-shelf solution?
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How do we think about the data we have or still need, the quality of that data, and the infrastructure required to support a safe and successful implementation?
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With an impactful solution in mind and an AI project plan in hand, how do we craft a strong grant proposal to secure the necessary funding?
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The Patrick J. McGovern Foundation (PJMF) is a philanthropic organization dedicated to advancing artificial intelligence and data science solutions to create a thriving, equitable, and sustainable future for all. PJMF works in partnership with public, private, and social institutions to drive progress on our most pressing challenges, including digital health, climate change, broad digital access, and data maturity in the social sector.
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