12 things blockchain protocols should consider when exploring AI

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12 things blockchain protocols should consider when exploring AI
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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 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 ofThe preservation of data privacy and security

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. –

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