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When we interviewed DeepFest 2024 speaker Joseph Wehbe (Chief Artificial Intelligence Ecosystem Builder at DAIMLAS), we asked him if there’s anything that worries him about AI and the future of work – if organisations and governments don’t get it right.
He said:
“Leaders must realise that there is a shift towards Sovereign AI – that is, homegrown AI that’s built in a localised ecosystem, because each region has local talent, local problems to solve, local capital, local research, local small businesses, local universities, community colleges, and technical schools, local ethical and regulatory considerations, that all impact the future of work.”
Why is this shift happening – and what does it mean for countries around the world?
Increasingly, nations are recognising Sovereign AI as a way to boost their competitiveness in global economies, and cultivate the spirit of innovation in their societies.
As outlined by the World Economic Forum, developing their own AI technologies and capabilities can allow countries to:
As well as a positive boost for social and economic outcomes, Sovereign AI is a concern for security reasons, too. A growing number of countries are focused on the importance of homegrown AI ecosystems to increase their capacity to protect national interests, and advance those interests through the strategic use of AI.
Localised ecosystems will reduce each nation’s reliance on AI technologies from other countries, which increases security and protects against supply chain disruptions. And importantly, homegrown AI enables countries to maintain control of their critical data, critical infrastructure, and critical technologies.
From a cultural perspective, developing Sovereign AI allows nations to embed their own local values into the AI technologies they use for a wide range of purposes – instead of trying to fit AI systems that have been developed with a different worldview into and around their own cultural principles.
Homegrown AI can serve local languages and cultural needs more seamlessly; and even help to highlight a country’s cultural capital in global markets.
And importantly, developing localised AI systems enables countries to overcome the biases inherent in systems that have been imported from Silicon Valley.
“While emerging tech hubs can learn from Silicon Valley and other established hubs how they built their AI centres of excellence,” Wehbe added, “they must localise their AI building capabilities.”
Wehbe pointed out that the private sector, SMEs, and industries are the drivers of momentum for AI talent and research.
“When more projects and opportunities are offered by them to the local talent, it builds capabilities overall in the community.”
“For countries that have not launched their national AI strategy – they must do so immediately. Because there is a generation of learners being left out if they don’t. Advanced AI hubs are quickly shifting from the knowledge economy to the Generative AI economy, and the longer they wait, the more they will be left behind.”
We want to know what you think. Open this newsletter on LinkedIn and share your perspective in the comment section – do you think homegrown AI systems will be necessary for a country’s future success?