#Write2earn Polkabot.AI: Decentralizing AI Education on #Polkadot
The rapid ascent of Artificial Intelligence has ignited what could be the onset of a new era in knowledge, comparable to milestones like the invention of the printing press or the advent of the World Wide Web. However, alongside its meteoric growth, AI has unveiled certain challenges and risks, such as biases, intellectual property concerns, and the potential for AI model failures. The convergence of Crypto, Internet, and AI in OriginTrail's vision of a Verifiable Internet for AI seeks to address both the promises and pitfalls of this knowledge revolution.
The Verifiable Internet for AI aims to mitigate AI's shortcomings by decentralizing the knowledge that AI systems rely on for their solutions. One notable implementation of this concept is Polkabot.AI – an AI education hub on Polkadot, set for full release in the near future with support from the Polkadot Treasury.
Leading the charge in developing Polkabot.ai is Trace Alliance, a collaborative platform forging partnerships to harness trusted knowledge in the AI era. This solution brings the vision of decentralized AI to life, transforming how users, from beginners to experts, engage with the Polkadot ecosystem.
Polkabot.ai facilitates broader community involvement in building a trusted knowledge base, which Polkabot's AI system utilizes to generate responses. Unlike traditional generative AI approaches, Polkabot employs a novel decentralized Retrieval Augmented Generation (dRAG) method, leveraging the OriginTrail Decentralized Knowledge Graph (DKG).
Rather than relying solely on AI-generated responses, Polkabot constructs responses using inputs from the DKG, sourced from the broader Polkadot community. This ensures data provenance, respects data ownership, and enables users to verify each source used in the final response. The trusted knowledge accessed by Polkabot's AI systems will continuously expand through community curation and a process called knowledge mining.
