Design and implementation of Explainable Trustworthy Artificial Intelligent System


   Electronic and Electrical Engineering

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  Prof Tatiana Kalganova  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Currently, the output of AI does not indicate the route or process the model has taken to obtain that output. So, the developers that developed the model will not be able to concisely conclude nor explain how that output was generated. Using Explainable AI, this will resolve this limitation by allowing developers to visually view the process the AI model has taken to achieve the output. This project will implement explainable AI techniques to be applied in supply chain optimisation.


Computer Science (8) Engineering (12)

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 About the Project