Decidable By Construction: Design-Time Verification for Trustworthy AI

ArXi:2603.25414v1 Announce Type: cross A prevailing assumption in machine learning is that model correctness must be enforced after the fact. We observe that the properties determining whether an AI model is numerically stable, computationally correct, or consistent with a physical domain do not necessarily demand post hoc enforcement. They can be verified at design time, before