Humanised AI for Emotion Based Threat Prediction on the Dark Web

Key Points

• Emotion prediction can significantly enhance threat modeling on the dark web, improving user safety.
• The study evaluates how emotional insights can refine artificial intelligence applications, leading to better outcomes.
• Analysis included advances in humanized systems designed for efficient threat detection on the dark web.
• Findings suggest that emotion-based mechanisms could provide a unique approach to understanding online threats.

Abstract