Ways Blockchain and AI can interact:
- Ensuring Transparency in AI systems:
Blockchain provides an immutable ledger which is able to document the entire lifecycle of an AI system. This ensures transparency in data-usage, model updates and decision making processes. One key example of this is tracking updates to AI algorithms to ensure compliance with AI regulations.
2. Combat Bias and promote fairness:
Blockchain can store metadata about datasets and training models to help identify biases within AI models. This can be used to record AI model decisions to create a full-proof trail for auditing fairness.
3. Smart Contracts:
Blockchain powered smart contracts can autonomise interactions between AI systems to create efficient workflows. This can be used in supply-chain management to trigger automatic reordering.
4. Ensuring security in AI systems:
Blockchain provides a tamper-resistant platform to protect AI systems from cyber-attacks. This can be used to prevent unauthorised modifications to AI algorithms.