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"I know it's not right, but that's what it said to do": Investigating Trust in AI Chatbots for Cybersecurity Policy

2025/10/10 by Brandon Lit, Lit, Brandon, Edward Crowder +5
Computer Science · Decision Sciences · Psychology · #AI in Service Interactions #FOS: Computer and information sciences #Human-Automation Interaction and Safety #Human-Computer Interaction (cs.HC) #Personal Information Management and User Behavior

paper · pdf · doi:10.48550/arxiv.2510.08917

openalex publication_date 2025/10/10 · openalex created_date 2025/10/14 · openalex updated_date 2026/07/28

Abstract

AI chatbots are an emerging security attack vector, vulnerable to threats such as prompt injection, and rogue chatbot creation. When deployed in domains such as corporate security policy, they could be weaponized to deliver guidance that intentionally undermines system defenses. We investigate whether users can be tricked by a compromised AI chatbot in this scenario. A controlled study (N=15) asked participants to use a chatbot to complete security-related tasks. Without their knowledge, the chatbot was manipulated to give incorrect advice for some tasks. The results show how trust in AI chatbots is related to task familiarity, and confidence in their ownn judgment. Additionally, we discuss possible reasons why people do or do not trust AI chatbots in different scenarios.

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