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Explainable AI for Trustworthy Driving by NAGENDRA YADAV is a document available to read on EtoBox.
What is Explainable AI for Trustworthy Driving about?
This document presents a systematic review of explainable AI (XAI) techniques aimed at enhancing safety and trustworthiness in autonomous driving (AD). It identifies key contributions of XAI, such as interpretable design and monitoring, and proposes a modular framework called SafeX for integrating these techniques into AD systems. The review highlights the current challenges in AI safety standards and the societal mistrust surrounding autonomous vehicles, emphasizing the need for transparent AI solutions.
- Author
- NAGENDRA YADAV
- Language
- EN