Decentralizirana AI, or Decentralized AI, refers to a framework in which artificial intelligence technologies and computational resources are distributed across multiple locations or nodes rather than being controlled by a central authority. This model aims to enhance attributes such as transparency, security, and accessibility in AI development and deployment.
In a decentralized AI system, data and algorithms can be shared and utilized across various entities, allowing for collaborative development while mitigating risks associated with centralization, such as single points of failure, data monopolies, and privacy concerns. Users can contribute to training AI models, share insights, and utilize AI applications without relying on a centralized provider. This approach often employs blockchain technology to ensure integrity, traceability, and trust among participants.
Decentralized AI also promotes innovation and democratizes access to advanced technologies, enabling diverse stakeholders, including individuals and organizations, to participate in AI ecosystems. By distributing control and fostering collaboration, decentralized AI aims to create more equitable and robust AI solutions.
Decentralizirana AI je revolucionarni koncept koji ima za cilj redistribuciju moći u umjetnoj inteligenciji. Ovaj pristup promiče suradnju, omogućujući privatnost podataka pojedinaca i provjerene interakcije. Nadahnuti međusobnom povezanošću neurona, decentralizirane…