Tailoring AI Systems to Meet Requirements

Abstract

In software engineering, principles and techniques have been discussed to analyze the requirements that each system must meet, or the risks it should avoid, and to carry out activities such as development, quality assurance, and operation based on those analyses. Similarly, in AI systems, it is essential not only to meet general requirements but also to address perspectives that are critical to the system's stakeholders through activities such as testing and performance tuning. This presentation will introduce efforts in testing and performance tuning for systems such as autonomous driving systems, focusing on an approach called Search-Based Software Engineering, which utilizes metaheuristic optimization.