Research Summary
The article explores the potential intersections between blockchain and AI technologies. The author highlights the unrealistic examples of these intersections, such as ‘putting AI on-chain’, ‘self-editing blockchains’, and using biometric data for authentication on the blockchain. The article emphasizes the distinct computational requirements of blockchain and AI, and the limitations of merging these two domains. It also discusses the potential of off-chain approaches like Verifiable Credentials (VCs) and Decentralized Identifiers (DIDs) in enhancing trust and authenticity in digital interactions.
Actionable Insights
- Understand the distinct computational requirements of blockchain and AI: Blockchain and AI have unique computational demands, and their intersection should be approached with a clear understanding of these requirements.
- Be cautious of unrealistic intersections of blockchain and AI: Examples such as ‘putting AI on-chain’, ‘self-editing blockchains’, and using biometric data for authentication on the blockchain are highlighted as unrealistic and potentially problematic.
- Consider the potential of off-chain approaches: Off-chain approaches like Verifiable Credentials (VCs) and Decentralized Identifiers (DIDs) can enhance trust and authenticity in digital interactions.
- Recognize the importance of cryptographic guardrails: As the synergies between decentralized systems and AI become more apparent, the integration of cryptographic guardrails can underpin truthful development in AI.
