The Role of Explainable AI in Enhancing Trust in Decision-Making Systems

This paper explores the emerging field of Explainable Artificial Intelligence (XAI) and its critical rolein fostering trust and transparency in AI-driven decision-making systems. The study highlights thechallenges posed by opaque AI models, presents existing XAI methodologies, and discusses theirimplications for ethical and accountable AI adoption in critical sectors such as healthcare, finance, and lawenforcement. The research also underscores the importance of interdisciplinary approaches andcollaboration in addressing these challenges, paving the way for responsible AI deployment. By sheddinglight on key areas of concern, this paper emphasizes the need for ongoing development of tools and strategiesthat enable better understanding and adoption of AI technologies.