Aptos CTO Advocates Blockchain for AI Consent

by | Feb 8, 2025 | Blockchain News, Latest News, Latest News On Artifical Intelligence (AI) | 0 comments

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At the India Blockchain Week 2024, Avery Ching, co-founder and CTO of Aptos, shared insights on how blockchain technology can transform AI training. He emphasized that blockchain’s immutability makes it the perfect tool for ensuring clear consent regarding which content can be used for training AI models.

Blockchain’s Role in AI Training Consent

As AI and blockchain gain popularity, Ching highlighted the importance of the data used to train AI models. While large language models (LLMs) often grab attention, Ching believes the true innovation lies in the training data. He used content from events, such as videos or news articles, to show how blockchain can offer transparency and control over content usage.

“There’s going to be a question on whether we want that content to be allowed and whether we want that content to be trained on. So, this is a perfect use case for blockchains because they’re immutable. They provide a center of control,” Ching stated.

Blockchain could give individuals and content creators direct control over whether their content is used to train AI models. Ching referred to blockchain as the “natural back end” for such systems, providing a decentralized and secure way to track consent.

Challenges of Blockchain on Social Media Platforms

Ching also discussed the challenges of implementing blockchain for managing AI training data, particularly on large-scale platforms like Facebook. These platforms generate billions of pieces of content daily, making it difficult to apply blockchain-based permissions for each data piece. Ching pointed out that adding controls for each piece of content would require high transaction throughput, which could raise costs.

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Nevertheless, Ching remains optimistic. He said the Aptos team is working on building a network capable of supporting these challenges.

The Future of Blockchain and AI

Despite the challenges, Ching’s vision signals a growing trend to improve AI training through blockchain’s transparency and control features. As AI continues to evolve, integrating blockchain could play a key role in promoting more ethical and transparent AI development.

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