ASE2022
B-AIS: An Automated Process for Black-box Evaluation of Visual Perception in AI-enabled Software against Domain Semantics
Hamed Barzamini, Mona Rahimi
1 citation
Abstract
AI-enabled software systems (AIS) are prevalent in a wide range of applications, such as visual tasks of autonomous systems, extensively deployed in automotive, aerial, and naval domains. Hence, it is crucial for humans to evaluate the model’s intelligence before AIS is deployed to safety-critical environments, such as public roads.