Innovation Sandbox finalist, Cryptographer, and Zama VP Benoit Chevallier-Mames discuss Zama’s efforts to bring fully homomorphic encryption (FHE) into commercial use. How FHE would allow application developers and customers to benefit from the insights obtained by sharing data with AI providers, like OpenAI or ChatGPT, but without exposing private data.

Benoit goes through some of the mathematical magic behind FHE, what ML approaches it enables, and some of its history. Benoit explains why fully homomorphic encryption has been such a performance challenge, and discusses Zama’s quantization approach.

Finally, Benoit unveils Zama’s announced strategy to focus on securing blockchain smart contracts until cloud computing allows them to wield fully homomorphic encryption for the broader spectrum of AI use cases.

Zama can be found online at Zama.ai, on LinkedIn.com/company/zama-ai, or on Twitter @zama_fhe.

Benoit Chevallier-Mames can be found at Linkedin.com/in/benoitchevalliermames.

You can also watch this episode on using fully homomorphic encryption (FHE) to preserve privacy with OpenAI, ChatGPT on YouTube.

Send feedback to host Paul Shomo on Twitter @ShomoBits or connect on LinkedIn.com/in/paulshomo.