There are several potential advantages to using blockchain technology in AI.
- Decentralization: Blockchain technology is decentralized, meaning that there is no single point of control or failure. This could make AI systems built on blockchain more resilient and secure.
- Transparency: Blockchain technology allows for transparency and traceability in the way data is stored and used. This could make it easier to understand how AI systems are making decisions and to detect and correct any biases or errors.
- Immutability: Blockchain technology is designed to be immutable, meaning that once data is recorded on the blockchain, it cannot be altered. This could be useful for preserving the integrity of data used to train AI models.
- Smart Contracts: Blockchain technology enables the use of smart contracts, which are self-executing contracts with the terms of the agreement between buyer and seller being directly written into lines of code. This could enable more efficient and automatic execution of tasks and transactions.
- Secure Data sharing: Blockchain allows for secure data sharing without the need of a central authority. This could enable more efficient and secure sharing of data between different AI systems and organizations.
However, it’s important to note that the application of blockchain technology in AI is a relatively new area of research and development, and it is not yet clear to what extent these potential advantages will be realized in practice.
AI model training on blockchain
There are several ways in which AI models can be trained using blockchain technology. One example is using blockchain to create a decentralized, open-source platform for sharing and training AI models. This platform could allow multiple organizations to share data and contribute to the development of a shared AI model.
Another example is using blockchain to create a secure and transparent marketplace for buying and selling AI models. This marketplace could enable organizations to purchase pre-trained AI models, or to share and monetize their own models.
One more example is the use of smart contracts to train AI models. Smart contracts are self-executing contracts with the terms of the agreement between buyer and seller being directly written into lines of code. Smart contracts can be used to automate the process of training an AI model by executing the necessary computations and updating the model’s parameters.
There are also projects that are already exploring the use of blockchain to train AI models, such as Ocean Protocol, which aims to create a decentralized platform for sharing and monetizing data, and ChainGuardian, which aims to create a secure and transparent marketplace for AI models.
It is important to note that these are just examples and many more ways to use blockchain technology in AI are being explored and developed.