Journal of AI Ethics and Autonomous Systems ISSN: 3107-8095 (Online)

Author's: Siddharth Jain, Deven Sharma

Abstract: Transparency and explainability are fundamental to the ethical deployment of autonomous AI systems. This paper explores the challenges associated with achieving transparency and explainability in AI, focusing on technical, ethical, and practical aspects. The paper reviews various methods for enhancing transparency and explainability, including algorithmic auditing, model interpretability techniques, and user-centric design approaches. Case studies from healthcare, finance, and autonomous vehicles are presented to illustrate the practical implications of these methods. The paper also discusses the role of regulatory frameworks and industry standards in promoting transparency and explainability in AI systems.

Keywords: AI transparency, Explainability, Algorithmic auditing, Model interpretability, Ethical AI