Integrating blockchain with AI is the creation of decentralized AI DAI systems

Blockchain and decentralized technologies are playing a significant role in the adoption and advancement of AI systems. These technologies enhance the security, privacy, and transparency of AI applications, addressing the limitations of centralized AI models.

One of the key benefits of integrating blockchain with AI is the creation of decentralized AI (DAI) systems. In DAI, decision-making processes are decentralized and rely on consensus among numerous nodes rather than a single central authority. This approach enhances transparency, security, and trustworthiness compared to traditional AI systems. Users can utilize AI and process data without compromising privacy and transferring control of their data to a centralized authority.

Blockchain technology provides immutable, transparent, and secure data storage, which is crucial for AI systems. Traditional AI models often centralize data, leading to risks of data tampering, breaches, and misuse. Blockchain addresses these issues by storing data across a distributed ledger, within secure, time-stamped blocks.

Decentralized AI systems are built using several core components, including AI platforms or decentralized apps (dApps), smart contracts, blockchain technology, federated learning, adversarial neural cryptography, homomorphic encryption, and secure multi-party computations. These components work together to create a framework for secure, efficient, and collaborative AI systems.

In the field of cybersecurity, blockchain technology is particularly useful for enhancing the security and privacy of AI systems. It provides decentralized and immutable data storage, making it ideal for protecting against potential cyber threats. A systematic literature review focusing on the integration of blockchain technology with decentralized AI within cybersecurity highlights the potential advantages and difficulties in decentralized AI cybersecurity.

Real-world examples of blockchain and AI integration include Ocean Protocol, which enables secure data sharing and AI training for Web3 applications, and OriginTrail, a decentralized knowledge graph for supply chain transparency and optimization. These applications demonstrate the practical benefits of combining blockchain and AI technologies.

Overall, the integration of blockchain and decentralized technologies with AI is transforming the future of technology, enhancing security, privacy, and democratizing access to AI technologies.