Blockchain Technology for AI Training Data
Use Case for Blockchain in AI Training Data
Business executives have highlighted the potential application of blockchain technology in preventing bias in the data that artificial intelligence models are being trained on. In a panel discussion at the World Economic Forum in Davos, executives emphasized the potential of blockchain to keep a check on AI training data and mitigate the dangers of biases and misinformation.
Concerns about AI Training Data
One of the primary concerns surrounding AI models is that the data they are trained on could contain biases or misinformation. This means that the answers AI systems provide may contain those biases and false information. The developers of AI systems need a way to ensure that the data used for training is accurate and unbiased.
Benefits of Blockchain in AI Training Data
Using blockchain technology to store AI training data has several benefits. Firstly, it allows the developers of AI systems to keep track of the data that the model has been trained on, thereby ensuring transparency and accountability. This can help to prevent biases and misinformations from entering the data.
Secondly, blockchain can ensure that the data is immutable and tamper-proof, which means that once the data has been stored on the blockchain, it cannot be altered or deleted. This provides an auditable record of the data used to train the AI model.
Casper Labs and IBM Partnership
One company that is exploring the use of blockchain in AI training data is Casper Labs, a business-focused blockchain firm that has partnered with IBM to create a blockchain-based AI training data system. According to Casper Labs’ chief technology officer, Medha Parlikar, the data sets used to train the AI model will be checkpointed and stored on the blockchain.
"Once the AI is trained, if you start to see hallucinations, you can actually roll back the AI and go back to a previous version," Parlikar explained.
FAQs
Q: What is the potential application of blockchain technology in AI training data?
A: Blockchain technology can be used to prevent bias in the data that artificial intelligence models are being trained on, ensuring transparency and accountability, and preventing biases and misinformations from entering the data.
Q: What is meant by "hallucinations" in AI training data?
A: "Hallucinations" refer to when an AI system gives out false information.
Q: What is the benefit of using blockchain in AI training data?
A: Using blockchain in AI training data ensures that the data is transparent, accountable, and tamper-proof, allowing developers to keep track of the data that the model has been trained on and preventing biases and misinformations from entering the data.
Conclusion
In conclusion, the use of blockchain technology in AI training data has the potential to ensure transparency, accountability, and tamper-proof storage of data. This can help to prevent biases and misinformations from entering the data used to train AI models, ensuring that AI systems provide accurate and unbiased answers. With the increasing adoption of AI in various industries, the use of blockchain in AI training data is likely to become a crucial aspect of developing reliable and trustworthy AI systems.
