Problem

Centralized Artificial Intelligence Models

One glaring issue with current centralized AI models lies in their vulnerability and lack of robustness. Centralization concentrates immense computing power and sensitive data within a specific entity or server. This setup makes these models susceptible to single points of failure, security breaches, and unauthorized access. Furthermore, the centralized nature limits scalability, as the burden on a singular system grows exponentially with the increasing demand for AI services. This centralized control not only poses risks to data privacy but also raises concerns about potential biases ingrained in the models, as the training data tends to be sourced from specific regions or demographics.