https://avabbas.github.io/academic-cv/tags/deception/DeceptionHugoBlox Kit (https://hugoblox.com)en-usWed, 22 Jul 2026 00:00:00 +0000https://avabbas.github.io/academic-cv/media/icon_hu_5ac22c9ce43dded7.pnghttps://avabbas.github.io/academic-cv/tags/deception/https://avabbas.github.io/academic-cv/publications/lie-awareness-spectrum/Wed, 22 Jul 2026 00:00:00 +0000https://avabbas.github.io/academic-cv/publications/lie-awareness-spectrum/<p><strong>🎧 Listen to the Podcast:</strong> <audio controls style="width: 100%; margin-top: 10px; margin-bottom: 10px;"> <source src="podcast.mp3" type="audio/mpeg"> Your browser does not support the audio element. </audio> <a href="podcast.mp3" download style="display: inline-flex; align-items: center; padding: 6px 14px; background-color: #2563eb; color: white; text-decoration: none; border-radius: 6px; font-size: 14px; font-weight: 500; margin-bottom: 20px;">⬇️ Download Podcast</a></p> <p><strong>Status:</strong> Preprint (Research Square)</p> <p><strong>License:</strong> CC-BY-4.0</p> <p><strong>Summary:</strong> This study maps how GPT, Claude, and Gemini recognize, rationalize, and refuse deception, proposing a Lie Awareness Spectrum (L0–L5) that runs from statistical hallucination to ethical refusal. The models differ sharply in where on the spectrum they operate under pressure.</p> <p><strong>Citation:</strong> Abbas Hamidavi. <em>The Lie Awareness Spectrum: How Large Language Models Recognize, Rationalize, and Refuse Deception</em>, 22 July 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-10422338/v1]</p>