Abstract

Artificial Intelligence (AI) has become a fundamental aspect of modern society shaping industries decision-making processes and daily interactions. However as AI technology advances concerns regarding trust ethics and social acceptance have gained prominence. This research explores the complex relationship between AI systems and public perception focusing on how trust is established ethical challenges are addressed and societal acceptance is fostered. Through a multidisciplinary analysis incorporating insights from sociology psychology technology ethics and policy studies this study examines key factors influencing the integration of AI into various sectors. The findings reveal that trust in AI is contingent upon transparency accountability and the perceived fairness of algorithms while ethical concerns related to bias data privacy and job displacement continue to shape public attitudes. Furthermore this paper highlights the role of education regulatory policies and human-centered AI d