DecepGPT: Schema-Driven Deception Detection with Multicultural Datasets and Robust Multimodal Learning

1. 1Collect and annotate multicultural datasets with intermediate reasoning cues
2. 2Develop schema-driven multimodal learning models to analyze audiovisual cues
3. 3Train and fine-tune DecepGPT on the collected datasets to improve generalization across domains and cultural contexts
4. 4Evaluate DecepGPT on benchmark datasets to assess its performance and reliability

AI engineers and researchers on a team can benefit from DecepGPT to improve deception detection in high-stakes settings, while data scientists can utilize the multicultural datasets for more robust model training

💡 DecepGPT provides verifiable evidence connecting audiovisual cues to final decisions, enabling more reliable deception detection

🔍 DecepGPT: AI-powered deception detection with multicultural datasets and robust multimodal learning