12 things blockchain protocols should consider when exploring AI

cointelegraph.com:

Across industries, it seems all anyone is talking about is artificial intelligence. Even companies that aren’t tech-forward are scrambling to discover how AI works and what it could do for them. Given the impact AI is predicted to make, it’s hardly surprising that blockchain protocols — part of an industry that is decidedly tech-forward — are exploring what role(s) AI could play for them.

From data analysis to improving scalability to fostering interoperability, AI could prove to be a powerful tool in the arsenal of blockchain protocols. Still, it’s essential to carefully review not only all the potential benefits, but also the possible complications. Below, 12 members of Cointelegraph Innovation Circle discuss some of the things blockchain protocols should consider as they begin exploring AI.

Since AI relies on vast amounts of data for training and decision making, protocols must prioritize robust encryption, anonymization techniques and secure data handling practices. Additionally, implementing privacy-enhancing technologies like federated learning or differential privacy can mitigate the risk of sensitive information being exposed. – RJ Phillips, Zoop

Carefully consider the team behind each product. While many AI builders promise huge results, you should always make sure to research their historical performance to determine whether their projected outcomes are actually realistic. Overall, protocols should look for companies with a consistent track record of delivering quality products on schedule and within budget. – Wolfgang Rückerl, ENT Technologies AG

Protocols should prioritize the design of AI solutions that maintain or enhance decentralization, possibly through the use of distributed AI models or decentralized