In high-risk industries like healthcare and finance, adopting AI technologies can be transformational, but transparency and accountability are paramount.
Artificial Intelligence (AI) has revolutionized various industries, bringing about unprecedented opportunities and challenges. As AI continues to be adopted in high-risk industries, such as healthcare, finance, and transportation, there is an increasing need for transparency, explainability, and trustworthiness. This article explores the concept of Explainable AI (XAI) and its significance in high-risk industries, with a particular focus on AI in mental health diagnostics. Additionally, it discusses the role of edge computing trends in enhancing the deployment and adoption of XAI systems.