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Designing For Deception: A Design Science Approach To Human-Centered Defences Against Ai-Driven Vishing
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An AI research paper on Designing For Deception: A Design Science Approach To Human-Centered Defences Against Ai-Driven Vishing.
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Chinese explanation / 中文解读
中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
While phishing remains a persistent threat, the emergence of multimodal Large Language Models, such as OpenAI's GPT-5, has fundamentally altered the voice phishing (vishing) landscape.This research explores the arms race between automated AI-driven social engineering and human-centered detection.We have developed web-based autonomous vishing software capable of conducting real-time deceptive conversations.As the technical architecture is complete, the project is currently navigating the ethical review process in preparation for human-subject testing.The core objective is to evaluate how users interact with and potentially detect AI-synthesized voices in a controlled environment.By presenting in the TREO Emerging Ideas track, we seek to engage the IS community on two fronts: (1) refining experimental methodologies for testing live AI deception without compromising ethical boundaries, and (2) feedback on preparing for the next stage in research which will involve a Design Science study with the software artifact within an organization.
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