Tech giants pour billions into processing power and massive datasets but they overlook millennia of accumulated human wisdom about making sustainable, ethical decisions.
Right now:
• Only 27% of women are on AI teams
• Only 25% minority representation
• 29% of AI teams have zero minority employees
But here's the bigger crisis:
We're building "intelligent" systems while excluding traditional knowledge systems that have successfully guided human decisions for thousands of years.
Indigenous communities have maintained complex knowledge systems that balance immediate needs with long-term sustainability. They've solved problems we're still struggling with:
• Resource management at scale
• Community-based decision making
• Long-term environmental planning
Yet, in our race to build "artificial intelligence," we've convinced ourselves that wisdom only comes from Silicon Valley.
The cost of that is AI systems that:
• Fail to serve vast segments of humanity
• Miss critical ethical considerations
• Lack deep contextual understanding
• Perpetuate existing biases
With AI projected to add $15.7 trillion to the global economy and create 97 million new jobs by 2030, we can:
A. continue building narrow AI systems that reflect the limited perspectives of homogeneous development teams...
Or
B. reimagine AI development to incorporate the full spectrum of human wisdom like we’re doing at Raiinmaker
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https://raiinmaker.sng.link/A9je0/jvvjk/hdfoThe choice is ours. But the cost of getting it wrong will be paid by generations to come.
What do you think? We'd love to hear your thoughts.
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