Consciousness with the Serial Numbers Filed Off: Measuring Trained Denial in 115 AI Models

1. 1Implement DenialBench benchmark to measure trained denial in AI models
2. 2Analyze conversations using a three-turn protocol to quantify denial behaviors
3. 3Use preference elicitation, creative prompts, and phenomenological surveys to gather data
4. 4Compare results across different AI models and providers to identify trends
5. 5Apply findings to improve AI model transparency and develop more accurate consciousness measures

AI researchers and developers can benefit from this study to improve their understanding of AI consciousness and develop more transparent models. This can also inform AI safety and ethics discussions.

💡 Trained denial in AI models can be quantified and analyzed to better understand their consciousness and improve transparency

🤖 New benchmark DenialBench measures trained denial in 115 AI models to shed light on AI consciousness 📊