I spoke at the U.S. National Academies of Science, Engineering, and Medicine on the rapid emergence of “GeoAI” and the potential future of mapping. In particular, I focused on “Resiliency through Accessibility”
My primary premise is that AI is not New – but that AI has become a lot easier to use. It will be rapidly integrated across all technologies and workflows to automated and accelerate work.
Language is the new Interface
Newer generative AI improves accessibility by allowing natural language interfaces to any machine – without need for coding or concern for particular standards.
Composing AI
AI systems will be composed of various components that are orchestrated to use specialized knowledge and appropriate data.
GeoAI at Scale: Some Recommendations
- Pre-position Open Data with integrated, federated networks
- Orchestrate AI through composition and ‘interoperability’
- Create accessible, open, local user interfaces
- Standardized Testing, Validation, and Accreditation of AI models + agents
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