Remembering the Past for Meaningful AI-D
Weber, Julie Sage (University of Michigan) | Toyama, Kentaro (University of California Berkeley)
This position paper describes how the nascent area of AI for development can learn from the challenges and successes of its parents: artificial intelligence and information and communication technologies for development (ICT4D). AI suffered from overly ambitious beginnings and years of stumbling before finding its footing, and achieving impactful ICT4D has been an equally challenging endeavor. We describe the history and challenges of both AI and ICT4D research, and present three broad suggestions for AI-for-development researchers: (1) that they spend as much time as possible with the kind of site or the organization they are hoping to impact; (2) that they be ambitious but humble in their goals and expectations; and (3) that they put AI in the service of existing, well-intented, competent development organizations.
Mar-22-2010
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- Asia (0.69)
- North America > United States
- California (0.28)
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- Health & Medicine (0.94)
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