Architecting Trustworthy AI: Engineering Patterns for High-Stakes Environments

Software engineers are great at talking about how to make things dependable: we have names for things like circuit breakers, bulkheads, making sure something can be done multiple times with the same result (idempotency), and making sure a system will fall apart in a manageable way (graceful degradation). We’re good at building systems to fail safely if a database isn’t working or a dependent service is taking too long. However, we don’t have a comparable, well-defined way of discussing systems that fail in a way that is likely to be wrong, and where the kind of failure isn’t a network going do