Ethical and Societal Implications of AI Chatbots Powered by Large Language Models

Abstract

The integration of Large Language Models (LLMs) into AI chatbots has transformed industries, enabling advanced human-machine interactions. However, this rapid adoption raises profound ethical and societal challenges. This paper investigates the technical underpinnings of LLMs, evaluates ethical concerns such as data privacy, bias, and accountability, and examines societal impacts including labor displacement, mental health risks, and cultural homogenization. By synthesizing technical data, policy frameworks, and empirical studies up to 2023, this research proposes actionable strategies for mitigating risks and fostering responsible AI deployment.