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08/15/2024

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Cardano’s Hoskinson Names AI-Blockchain Use Cases—Is ADA Ready to Seize the Moment?

In his recent presentation at the Ai4 conference, Cardano co-founder Charles Hoskinson addressed the intricacies around the merging of blockchain technology and Artificial Intelligence (AI). According to...

Cardano’s Hoskinson Names AI-Blockchain Use Cases—Is ADA Ready to Seize the Moment?

  • In his recent presentation at the Ai4 conference, Cardano co-founder Charles Hoskinson addressed the intricacies around the merging of blockchain technology and Artificial Intelligence (AI).
  • According to him, AI’s reliance on huge computational resources could be offset by the existence of tokenomics.

The groundbreaking entry of Artificial Intelligence (AI) into the crypto or blockchain space was the focal point of the Ai4—Artificial Intelligence Conferences 2024, which featured Cardano’s (ADA) Charles Hoskinson as a speaker. In his keynotes, Hoskinson delved into the ongoing situation of AI leveraging blockchain as an incentive and trust layer to create a decentralized marketplace for data, models, and inference.

In his submission, the Cardano co-founder explained how the integration of AI and blockchain could redefine and transform healthcare by implementing electronic health record systems (EHR). He also mentioned the challenges of this combination, as both are severely confronted by governance issues daily.

In the previous year, the Whitehouse, for instance, introduced the revolutionary executive order on AI, with the United Nations forming an advisory committee on the fast-growing technology. To sanitize its use, the European Union reached an agreement on the EU AI Act. Similarly, blockchain has been undergoing regulatory and governance issues for the past couple of years. To prepare for this, Cardano recently elected an interim constitutional committee for its decentralized governance structure, as we reported.

Highlighting their existing challenge and how they complement each other, Hoskinson referenced the issues of reliance on AI on a wide range of computational resources and how tokenization provides the needed solution.

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