A Review on Exploring Artificial Intelligence Applications, Advancements, Issues, and Future Challenges

Abstract

Artificial intelligence (AI) is a transformative technology with diverse applications that is transforming several industries. AI is the use of systems and technology to replicate human intelligence and solve common real-world issues. Machine learning (ML) and deep learning are AI technologies that use algorithms to more accurately predict occurrences without the need for human intervention. Explainable Artificial Intelligence (XAI) refers to AI that can explain decisions or forecasts to human users. XAI seeks to improve AI systems' transparency, trustworthiness, and accountability, particularly when utilized in high-risk applications such as healthcare, finance, or security. This review article provides a thorough overview of the literature on AI techniques with various applications. It emphasizes the value of interdisciplinary study as well as the enormous potential of artificial intelligence. Combining domain knowledge and AI can transform entire sectors, solve difficult problems, and improve quality of life in general. To reduce potential hazards and address societal concerns, ethical considerations and responsible development of AI technology are crucial.