Abstract

More and more, AI interfaces (like virtual assistants, chatbots, and recommendation systems) are changing the way people interact with computers, transforming the way people think and behave. Critical Discourse Analysis (CDA) is used in this essay to analyze language of authority in AI interfaces. The research paper investigates the impact of language, design, and contact patterns in standard AI systems on power in AI-based communication, its support, and challenge. This paper examines the way AI systems shift the power balance based on the CDA theory introduced by Fairclough and concepts provided by discourse studies and human-computer interaction. Conversation logs and features from Siri, Alexa, and Google Assistant are utilised in this piece to demonstrate their capabilities, keep users on track, and illustrate how AI can leverage these features as examples of AI that accomplish these tasks. The polls reveal what people genuinely think about technology and what they believe others should do. Additionally, they demonstrate how speech from authorities influences AI settings in terms of freedom, trust, and dependency. That's because of this study from different areas. It helps us understand the political and social sides of AI words better. It also enables us to develop AI systems that are more beneficial for people by being more transparent, fair, and accountable.