📣 Avery Ching on Blockchain’s Role in AI Training
posted 8 hr ago
Avery Ching, co-founder and CTO of Aptos, shares his vision for blockchain as a perfect use case in AI education, emphasizing its unmatched ability to streamline content access for machine learning.
Speaking about applying this approach to platforms like Facebook, Ching highlighted the immense resources and throughput required to manage millions of daily content uploads while supporting individual permissions. Still, Aptos is committed to building the capabilities needed to address these complex use cases.
Blockchain’s role in managing AI training underscores a growing emphasis on transparency and accountability in the evolving field of artificial intelligence.
Ching’s suggestion builds on the momentum toward creating ethical, innovative frameworks for AI’s use of human-produced data.
In today’s era of AI and blockchain, the data fueling AI models plays a pivotal role. Avery Ching highlights that training AI on resources such as videos and articles inherently brings up the need for strict content control.
Avery Ching, Co-Founder of Aptos, at India Blockchain Week 2024. Source: Cointelegraph
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 provides the infrastructure for transparent, immutable consent mechanisms, giving users control over whether AI models can leverage their content. Ching described this as a "natural back end" for addressing such challenges.
Speaking about applying this approach to platforms like Facebook, Ching highlighted the immense resources and throughput required to manage millions of daily content uploads while supporting individual permissions. Still, Aptos is committed to building the capabilities needed to address these complex use cases.
Blockchain’s role in managing AI training underscores a growing emphasis on transparency and accountability in the evolving field of artificial intelligence.
Ching’s suggestion builds on the momentum toward creating ethical, innovative frameworks for AI’s use of human-produced data.
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