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The Money Movement with Jeremy Allaire | Leaders in Blockchain, Crypto, DeFi & Financial Inclusion

The Intersection of AI and Blockchain | A Conversation with Rand Hindi

Nov 21, 2024
In this engaging discussion, Rand Hindi, Co-founder and CEO of Zama, dives into the cutting-edge world of Fully Homomorphic Encryption and its applications in AI and blockchain. He articulates his journey into tech, highlighting the critical need for privacy in our digital landscape. Rand unveils how FHE can protect confidentiality in financial transactions while simplifying compliance through smart contracts. The conversation also explores the innovative merging of AI and blockchain, paving the way for secure data monetization and future financial applications.
34:28

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Fully Homomorphic Encryption (FHE) enables secure computations on encrypted data, significantly enhancing privacy in digital transactions and services.
  • The intersection of AI and blockchain allows users to control their data, creating new economic models where they earn from repeated data usage.

Deep dives

The Evolution of Privacy and Encryption

The discussion highlights the transition from basic privacy concerns to the advancements in Fully Homomorphic Encryption (FHE), which allows computation on encrypted data. The concept entails enabling computations without revealing sensitive information, offering a significant improvement in data privacy standards. By visualizing a scenario where users send encrypted queries to a service like OpenAI, the potential of FHE becomes apparent; users retain privacy as their data remains encrypted throughout the process. This technology promises vast applications not only in AI and cloud services but also in blockchain, where maintaining confidentiality within decentralized systems is crucial.

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