AI has a trust problem — Decentralized privacy-preserving tech can fix it
AI faces a significant trust deficit, hindering widespread adoption across sectors like finance, healthcare, and personal data management. Despite substantial investment in AI, including over 7,000 projects in the DeFi x AI sector, core vulnerabilities such as hallucinations and privacy concerns persist. Surveys indicate that 61% of people hesitate to trust AI, with top IT leaders citing reliability and cybersecurity risks as major concerns. Decentralized, privacy-preserving technologies like ZK-SNARKs offer solutions by enabling verifiable AI decisions without exposing personal data. These cryptographic systems can enhance transparency and accountability in AI, essential for fostering trust. As industries demand reliable AI, decentralization emerges as a crucial factor for future adoption.
