Securing AI Through Decentralization
How blockchain technology addresses critical vulnerabilities in AI systems
This research proposes Decentralized AI (DeAI) as a solution to address fundamental security and privacy challenges in centralized AI systems, particularly large language models.
- Tackles single points of failure, inherent biases, and data privacy concerns prevalent in closed-source LLMs
- Leverages blockchain technology to enhance security, transparency, and trustworthiness
- Creates more resilient AI systems by distributing control and eliminating central vulnerabilities
- Offers a framework for privacy-preserving AI that respects user data sovereignty
For security professionals, DeAI represents a significant advancement in building AI systems that resist manipulation, protect user privacy, and maintain integrity through distributed architecture rather than centralized control.