AI models are rapidly concentrating in the hands of a few companies — the training process is opaque, data ownership is unclear, and biases are unaccountable.
Decentralized AI (DeAI) provides a path for deconstruction, and Polkadot is becoming its key technological foundation.
This map showcases the core projects building DeAI infrastructure within the @Polkadot ecosystem:
@bittensor_: AI model training network
@peaq: On-chain infrastructure supporting the operation of the machine economy
@PhalaNetwork: Smart contract platform supporting confidential computing and privacy protection
@neurolanche: Modular, composable collaborative AI model framework
@origin_trail: Trustworthy knowledge graph protocol for AI
@Acurast: Achieving confidential computing task scheduling on edge devices
Polkadot offers a heterogeneous multi-chain architecture, shared security, and cross-chain interoperability, making it an ideal platform for building scalable DeAI systems.
Of course, the future of AI should not be dominated by closed models but should be built on open protocols and trustless collaboration.
