Decentralized computation via the blockchain can alleviate the current trust issues with AI, but there is a catch, founder and chief scientist of the dfinity Foundation dominic_w writes. Opinion.
The rapid progress of artificial intelligence has captivated the world, with many asking what is next for this technological breakthrough. While AI has already demonstrated its potential to transform various industries, it faces a major roadblock to large-scale adoption: a lack of trust and transparency.
There is currently limited insight and no real way to validate the sources of data that an AI model is trained on, exactly what data is being collected by the model and, by extension, how that data informs the model and its accuracy. Instead, many of the world’s most popular blockchains today are reliant on a centralized cloud infrastructure , hindering the blockchain’s ability to support processing and storing data at the speed required for AI.
A completely/fully decentralized blockchain, such as The Internet Computer , the network I helped build that offers compute power matching or exceeding Web2 cloud servers, will allow AI models to be run entirely inside of smart contracts. This will make the training parameters and inputs that make large language models both open source and tamper-proof.
Fully realizing the potential of AI on the blockchain requires a truly decentralized network. It must be capable of storing and processing data so that full models can be run unencumbered within smart contracts. These decentralized systems like ICP will empower AI to function as an autonomous cloud, transforming the landscape of AI development.For example, consider an AI model designed for medical professionals. The model is widely used but ultimately produces untrustworthy responses.
This example is just one of many that demonstrate why decentralization is critical to building trust in AI models. By operating in a fully open and public environment, AI on the blockchain ensures transparency in data processing, enabling users to understand how their data is utilized.
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