Zero Barriers Ahead! Zero Knowledge and AI Combine to Redefine the Future.

In the fourth episode of the series, StarkWare president Eli Ben-Sasson and Giza co-founder Cem Dagdelen delve into the fascinating topic of artificial intelligence (AI) in the context of smart contracts. This article will highlight the key takeaways from their discussion and provide a summary of their insights.

1. The potential of AI in smart contracts: According to Eli Ben-Sasson, AI has the potential to significantly enhance the capabilities of smart contracts. By leveraging AI algorithms, smart contracts can become more dynamic and adaptive, allowing for automated decision-making based on real-time data. This opens up new possibilities for complex and sophisticated applications of smart contracts across various industries.

2. Challenges and limitations: While the integration of AI in smart contracts holds great promise, there are several challenges and limitations that need to be addressed. Cem Dagdelen emphasizes the importance of ensuring transparency and accountability in AI-driven smart contracts. It is crucial to have mechanisms in place to prevent biases, ensure fairness, and mitigate potential risks associated with AI decision-making. Additionally, the scalability and efficiency of AI algorithms need to be considered to ensure seamless execution within smart contracts.

3. Balancing decentralization and AI: The discussion also touches upon the balance between decentralization and AI in smart contracts. While decentralization is a core principle of blockchain technology, AI algorithms often require large amounts of data and computational power, which may not be feasible to achieve in a fully decentralized manner. Eli Ben-Sasson suggests that a hybrid approach, combining decentralized elements with off-chain AI processing, could be a viable solution to strike a balance between efficiency and decentralization.

In summary, the conversation between Eli Ben-Sasson and Cem Dagdelen highlights the immense potential of AI in smart contracts. By leveraging AI algorithms, smart contracts can become more dynamic, adaptive, and capable of automated decision-making. However, it is crucial to address challenges such as transparency, fairness, and scalability to ensure the responsible integration of AI in smart contracts. Striking a balance between decentralization and AI is also an important consideration for the future development of this technology.