A new approach is emerging that tackles many of the problems with centralized AI while opening up new possibilities for innovation and user control: decentralized AI.
Centralized vs. Decentralized AI
While this approach allows for efficient processing of massive datasets, it risks data monopolies, single points of failure, and potential misuse of concentrated power.
Decentralized AI, in contrast, distributes computational resources, data, and most importantly, control, across a many participants.