• Standardization is needed in the AI industry to avoid economic waste and distraction from chaotic situations.
  • Better data is required to feed AI models, including national data sets of good quality.
  • National and local context is important in AI models to avoid biases and misunderstandings.
  • Outsourcing more thinking and minds to AI models requires diversity in models, not just Palo Alto-based ones.

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