ED MARQUEZ
Exploring 5 Key Applications of AI Abundance with Blockchain Assurance
#1about 6 minutes
Understanding the synergy of AI and blockchain technology
AI's rapid growth introduces risks like deepfakes and data integrity issues, which blockchain can mitigate by providing an immutable and transparent ledger.
#2about 5 minutes
Ensuring AI training data integrity with a consensus service
Using a decentralized consensus service like Hedera's HCS allows you to create a verifiable, timestamped log of training data to prevent tampering and ensure model reliability.
#3about 4 minutes
Tracking AI model lineage for transparency and accountability
Anchoring model components and development history on a distributed ledger provides a transparent and auditable trail for compliance and debugging.
#4about 6 minutes
Using RAG to query blockchain data with natural language
Retrieval-Augmented Generation (RAG) and function calling enable AI models like Gemini Pro to access and interpret real-time data from distributed ledgers via APIs.
#5about 3 minutes
Managing content ownership and compensation in the AI era
Blockchain offers solutions for AI-related copyright challenges by creating tamper-proof ownership records and automating royalty payments for creators.
#6about 2 minutes
Implementing transparent AI governance with DAOs
Decentralized Autonomous Organizations (DAOs) provide a framework for community-driven, on-chain governance to make AI development more transparent and collective.
#7about 1 minute
Summary and resources for building with AI and blockchain
A recap of the five key applications of blockchain in AI is provided, along with resources and next steps for developers to get started.
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