By regulating AI, blockchain technology may have discovered its most effective application.

• To prevent issues such as bias in the data that artificial intelligence models are trained on, executives suggested using blockchain technology, as discussed at the World Economic Forum in Davos.
• The potential for biases or misinformation in the data used to train AI models, such as those utilized in ChatGPT, is a major concern.
• The executives added that AI training data can be stored on the blockchain to track the data used to train the AI system and prevent potential risks.

Executives at DAVOS, Switzerland, stated that blockchain could potentially eliminate bias in AI models' training data, making it a "killer use case" for the technology.

The potential issue with AI models, such as those used in ChatGPT, is that the data they are trained on may contain biases or inaccuracies. As a result, the responses generated by an AI system could also reflect these biases and inaccuracies.

Since its inception in 2009 with the introduction of bitcoin, blockchain has been utilized as an immutable and tamper-proof public ledger of transactions. As a result, businesses have started to explore the potential of blockchain, also known as distributed ledger technology, for various applications beyond cryptocurrency.

By putting training data on the blockchain, AI developers can monitor the data used to train their models.

IBM teamed up with Casper Labs, a blockchain company concentrating on enterprise solutions, to develop a system this month.

During a panel discussion at the World Economic Forum in Davos, Medha Parlikar, chief technology officer and co-founder of Casper Labs, stated that the product they are developing has datasets that are checkpointed and stored on the blockchain, providing a proof of how the AI is trained.

If the AI is hallucinating while learning, you can roll back the AI to undo some of the learning and return to a previous version.

Hallucinations broadly refer to when an AI system gives out false information.

For years, blockchain technology has been discussed, and various industries, including finance and healthcare, have explored its potential uses.

The CEO of the Crypto Council for Innovation, Sheila Warren, stated that a blockchain-based AI training data ledger could be the "killer use case" for the technology.

Warren stated that he believes that the verification of AI and the checks and balances within an AI system will be driven and backed by blockchain technology.