The Role of Test Architecture in Governing Non-Deterministic AI Systems
Keywords:
Non-Deterministic AI Systems, Behavioral Evaluation Framework, AI Governance Architecture, Scenario-Driven Testing, Enterprise AI Quality EngineeringAbstract
Enterprise software systems are undergoing a fundamental shift as artificial intelligence assumes a central role in defining platform behavior, replacing deterministic rule-based logic with probabilistic inference and learned statistical representations. This transition renders conventional testing frameworks structurally inadequate, as traditional input-output assertions cannot evaluate systems whose outputs vary intrinsically across repeated executions
References
Saleema Amershi et al., "Software Engineering for Machine Learning: A Case Study,” [Online].
Available: https://www.microsoft.com/en-us/research/wp-content/uploads/2019/03/amershi-icse
_Software_Engineering_for_Machine_Learning.pdf
D. Sculley et al., "Hidden Technical Debt in Machine Learning Systems," [Online]. Available:
