Abstract
The integration of artificial intelligence (AI) with autonomous systems represents one of the most transformative technological advancements of the modern era. This study explores the evolution, applications, and challenges of these systems across key sectors, including transportation, healthcare, manufacturing, agriculture, and defense. Autonomous systems leverage AI algorithms, such as machine learning and deep learning, to perform tasks with minimal human intervention by processing data, making decisions, and executing actions. Their applications range from self-driving vehicles and robotic surgical systems to precision farming and military operations. These innovations promise enhanced efficiency, accuracy, and scalability, but they also raise significant ethical, societal, and regulatory challenges. Issues such as algorithmic bias, accountability in case of failures, job displacement, and potential misuse in defense highlight the complexities of widespread adoption. To address these challenges, the study emphasizes the need for robust regulatory frameworks, ethical guidelines, and interdisciplinary collaboration to ensure the safe and equitable deployment of AI and autonomous systems. Through a thematic analysis of recent research, this article provides insights into the transformative potential and the multifaceted concerns of these technologies, paving the way for future advancements and responsible innovation.
Published Version
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