Automated Testing of AI Models
  The last decade has seen tremendous progress in AI technology and
applications. With such widespread adoption, ensuring the reliability of the AI
models is crucial. In past, we took the first step of creating a testing
framework called AITEST for metamorphic properties such as fairness, robustness
properties for tabular, time-series, and text classification models. In this
paper, we extend the capability of the AITEST tool to include the testing
techniques for Image and Speech-to-text models along with interpretability
testing for tabular models. These novel extensions make AITEST a comprehensive
framework for testing AI models.
