ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN MODERN SOCIETY

Abstract

In recent decades, Artificial Intelligence (AI) and Machine Learning (ML) have gone from being mere computer science concepts to becoming fundamental in today's society. They are present in artificial assistants, healthcare diagnostics, security systems, and industrial automation processes. However, this rapid expansion of AI also raises new ethical, social, and regulatory challenges. With algorithms taking on roles that were previously exclusive to humans, concerns arise about data protection, accountability for automated decisions, biases in systems, and the potential replacement of the human workforce. Thus, this paper aims to analyze the use of Artificial Intelligence and Machine Learning in today's society, focusing on the areas of healthcare, security, and automation. It is concluded that the ability to quickly analyze large amounts of data and identify useful patterns for decision-making has enabled progress that previously seemed impossible, improving medical diagnostics, increasing real-time surveillance, and automating industrial processes more efficiently. However, these advantages do not come without ethical, political, and legal issues. The potential of AI, although promising, also presents several challenges that require careful analysis and attentive regulation.