Why and how we should decentralize AI
Decentralizing AI is of paramount importance in the contemporary technological landscape. Centralized control over artificial intelligence, whether it be in terms of computational resources, data ownership, or decision-making processes, poses significant risks. Decentralization fosters transparency, reducing the opacity surrounding AI model training, data usage, and evaluation. It mitigates the potential for undue influence and monopolistic control by a few major players, democratizing access to AI capabilities. By involving a diverse set of stakeholders and contributors, decentralization promotes innovation and ensures AI aligns better with a broader spectrum of human interests and values. It also enhances the robustness and resilience of AI systems by reducing their vulnerability to single points of failure. Ultimately, decentralizing AI empowers individuals, organizations, and communities, ushering in a more equitable and accountable era for artificial intelligence.
October 11, 2023