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The need to reconsider our approach to artificial intelligence is becoming increasingly urgent. Rather than falling into the trap of technological monopolies, which concentrate power and resources, it is crucial to develop a shared AI.This approach emphasizes technology free from monopolies and commits to being rooted in local and sustainable dynamics. By doing so, we can ensure that AI remains a tool for everyone, exploring modest but genuine avenues for progress and innovation. Artificial intelligence (AI) is at a turning point in its evolution, challenged by resource limitations, but also by the need to break free from the monopolistic structures that dominate the sector. This article explores how it is possible to reinvent AI so that it is shared and rooted in more modest local dynamics, while freeing itself from the grip of large corporations. This requires a redefinition of economic models and a more sustainable and equitable approach to AI that benefits everyone.
Towards Shared AI
AI has seen explosive growth over the past decade, but this expansion has often been driven by the dominance of a few major players in the technology sector. For shared artificial intelligence, it is crucial to promote open access and collaboration among different stakeholders, whether academics, independent professionals, or social entrepreneurs. This means pushing back the barriers to accessing AI technologies to create a more inclusive ecosystem. Freeing AI from MonopoliesThe concentration of AI power in the hands of large corporations poses risks to innovation and fairness. It is time to liberate AI from monopolies to enable greater diversity of thought and application. This requires policies that support startups, small businesses, and citizen initiatives. By diversifying the actors involved in AI development, we can hope for advances that address the real and varied needs of society.
The Dynamics of Open Source
Open source is one of the essential pathways to increasing the diffusion of AI. By freely sharing code and data, developers and researchers worldwide can collaborate to solve problems specific to their local contexts. This also reduces dependence on tech giants and transforms business models toward more collaborative and community-based versions.
Local Roots and Humility
Another crucial dimension is the local grounding of AI. By integrating local dynamics, AI can provide solutions that meet the specific needs of communities. This requires a modest approach that recognizes the limitations of one-size-fits-all technologies and values local expertise. By adapting technologies to the community level, AI takes into account distinct cultural, social, and economic variables, thus contributing to more sustainable and equitable development.
The role of local communities
Local authorities have a crucial role to play in the local implementation of AI. They can act as catalysts for small-scale AI projects that aim to improve citizens’ daily lives. With the support of local governments, AI projects can evolve in a way that aligns with urban development goals and precisely meets the needs of the population.
