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Testing Framework for Black-box AI Models | IEEE Conference Publication | IEEE Xplore

Abstract:

With widespread adoption of AI models for important decision making, ensuring reliability of such models remains an important challenge. In this paper, we present an end-...Show More

Abstract:

With widespread adoption of AI models for important decision making, ensuring reliability of such models remains an important challenge. In this paper, we present an end-to-end generic framework for testing AI Models which performs automated test generation for different modalities such as text, tabular, and time-series data and across various properties such as accuracy, fairness, and robustness. Our tool has been used for testing industrial AI models and was very effective to uncover issues present in those models. Demo video link-https://youtu.be/984UCU17YZI
Date of Conference: 25-28 May 2021
Date Added to IEEE Xplore: 07 May 2021
Print ISBN:978-1-6654-1219-3
Print on Demand(PoD) ISSN: 2574-1926
Conference Location: Madrid, ES

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