Why AI needs blockchain

AI popularity and adoption have exploded in the last two years as everyone from Silicon Valley to governments look at different ways they can potentially harness emerging technology.

This focus on new and exciting technologies has understandably taken focus away from other emerging technologies such as blockchain and IoT, but in reality, all of these technologies are likely to rely on one another rather than compete against each other.

This is the view of Somi Arian (Founder of InPeak) who was speaking at the recent London Blockchain Conference. She opened her presentation with a simple question:

‘Does blockchain need AI more than AI needs blockchain?’

The clear benefits of using blockchain

One of the main reasons blockchain complements AI so well is due to its built-in transparency and immutability. By using these features, AI algorithms can securely access and exchange data without relying on intermediaries, ensuring data integrity and transparency throughout the process. This method minimises the risk of data manipulation or tampering, which is essential for AI applications where maintaining data integrity is critical.

Blockchain boosts the trustworthiness of AI systems by offering a verifiable and auditable record of data transactions and model outputs. AI algorithms often depend on large datasets for training, and blockchain enables the secure and transparent exchange of this data among various parties, including individuals, organisations, and even devices within the Internet of Things (IoT) ecosystem.

Using blockchain, data provenance can be traced from its origin to its application, ensuring accountability and allowing stakeholders to verify the authenticity and quality of the data used by AI models.

Distributed Autonomous Organisations

Arian highlighted Distributed Autonomous Organisations (DAOs) as an example of how AI and blockchain can collaborate to empower individuals. DAOs enable users and token holders to participate in decision-making, but this process can result in decision fatigue.

AI models could alleviate this by learning each user’s preferences and values, ultimately making decisions on their behalf. This has the potential to significantly impact areas ranging from democracy itself to simplifying the process of accepting or rejecting terms and conditions when using online services.

Build your AI on the BSV blockchain

While AI and blockchain may not be the solution for every application, even tracking the decision-making processes of highly complex AI models would require a scalability level that is only possible on the BSV blockchain.

BSV blockchain’s scalability is a crucial factor when considering its compatibility with AI. AI algorithms often demand significant computational resources and generate vast amounts of data during training and inference processes.

The BSV blockchain’s large block size and high transaction throughput enable it to handle the immense volume of data transactions that AI systems require, ensuring smooth and uninterrupted operation even under heavy workloads.

Moreover, BSV’s stability and immutability make it an ideal platform for ensuring the integrity and security of AI-related data and transactions.

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