According to CryptoPotato, Artificial Intelligence (AI) has become a significant topic within the cryptocurrency industry over the past few years. Many crypto projects have integrated AI-based tools and programs into their protocols. Charles Hoskinson, the founder of Cardano, recently attended the Ai4 Conference in Las Vegas, held from August 12 to 14, where he delivered the keynote address on the challenges of merging blockchain and AI.
Romain Pellerin, the Chief Technology Officer of IOHK, summarized Hoskinson's keynote. Hoskinson emphasized that AI could leverage blockchain technology as a trust and incentive layer to build decentralized marketplaces for data, inference, and models. He highlighted that blockchain's role in AI could revolutionize data management, incentivize sharing, and create decentralized marketplaces for computation and inference. Additionally, Hoskinson noted that tokenization and incentives might offer solutions to AI's reliance on vast data and computing power.
Despite the potential benefits, Hoskinson acknowledged several challenges in integrating AI and blockchain. He pointed out fundamental differences between the two technologies, such as privacy concerns, resource scarcity, and determinism, which create incompatibility. Coordination is crucial, but merging these systems may prove difficult. Privacy in AI development remains a critical issue, but fully homomorphic encryption (FHE) could potentially enable private smart contracts and secure data sharing without compromising privacy. Technical incompatibility and the first-mover problem hinder the integration of AI and blockchain, but complementary solutions could emerge to address these challenges.
