Many goals under one umbrella
Confusion about sovereign AI in part reflects practitioners’ varying goals. Some users want to maximize their AI model options, some want better control over data ingested into AI systems, some want data to reside within country borders, some want to control costs, and others may want to run AI models optimized to their native language or culture.
For Berk Yilmaz, co-founder and CTO at AI integrated development environment provider Noah Labs, sovereign AI encompasses five characteristics: data sovereignty, legal jurisdiction, model provenance, operational control, and supply chain independence.
“Fulfilling one of those does not mean fulfilling all the others, so two executives can agree with sovereign AI and have little in common,” he says.
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