"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
Cryptography Will Revolutionize AI Data Privacy with Daniel Kang
Sep 5, 2023
Dive into the intriguing world where cryptography meets artificial intelligence! Discover how zero-knowledge proofs can revolutionize data privacy while ensuring trust in AI applications. Explore the risks of malicious tampering in medical machine learning and how cryptographic methods can safeguard patient care. Plus, learn about the implications of integrating AI with smart contracts, balancing transparency with privacy in digital interactions. This discussion is a fascinating peek into the future of secure AI!
01:21:44
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Quick takeaways
- Zero-knowledge cryptographic proofs allow for the verification of AI models without revealing sensitive information, addressing the trade-off between privacy and authenticity.
- Verification keys can be used to ensure transparency and confirm that AI models are running the correct architecture and weights, which is important for various applications including dispute resolution and model audits.
Deep dives
The use of zero-knowledge cryptographic proofs to verify AI models
Zero-knowledge cryptographic proofs are being applied to AI technology, allowing for the verification of AI models without revealing the model's weights or inputs. These proofs offer a way to ensure authenticity while maintaining privacy, tackling the trade-off between the two. By using finite fields and polynomials, it is possible to prove that a specific computation has been faithfully executed. The protocol involves commitment to the model, converting the computation into an arithmetic representation, and generating a proof that the computation ran correctly. Verification can be done by checking the hash of the proof against the output, providing confidence that the computation was valid.
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