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