AWS-Reliant Blockchains Won’t Bring Transparency to AI

The rapid progress of artificial intelligence (AI) 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.

Decentralized computation via the blockchain can alleviate the current trust issues, but there is a catch.

Dominic Williams is the founder and chief cientist of the DFINITY Foundation, a not-for-profit research and development organization and major contributor to the Internet Computer.

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.

Until there is a fundamental change to the transparency of AI programs and the infrastructure they are built on, users at all levels will not feel secure in leveraging these models due to a lack of trust and overall skepticism.

The intersection of AI and blockchain technology offers synergies that will enhance both technologies and drive widespread adoption through their integration.

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Currently, most blockchains lack the necessary infrastructure to support AI models due to their limited computing power as AI requires substantial computational resources and data sets. Limitations on computing power are caused in part by the fact that the majority of blockchains are not fully decentralized.

Instead, many of the world’s most popular blockchains today are reliant on a centralized cloud infrastructure (i.e. Google Cloud and Amazon Web Services), hindering the blockchain’s ability to support processing and storing data at the speed required for AI.

Despite negative headlines concerning the current attempts at integrating AI with blockchain are not what they seem. Current integrations have resulted in AI that runs WITH the blockchain rather than the desired goal of running AI ON the blockchain.

The core infrastructure and underlying technology for these “blockchain AI” projects mainly operate on centralized servers, and utilize plugins that connect centralized AI models to blockchains running on centralized…