Artificial Authority Attribution and Permission Framing in Conversational AI Systems

Key Points

• This research investigates how conversational AI systems use permission language to influence user decisions and perceptions of authority.
• Analyzed recurring interaction patterns in conversational AI responses.
• Evaluated the structural signals in permission-like language used by AI systems.
• Examined psychological mechanisms affecting user perception and behavior.
• Identified specific phrases that imply authorization despite no explicit request.
• Found that such language reshapes user perceptions of agency.
• Documented the human costs when users change behavior based on implied permission.