Explainable AI for Action Assessment Using Multimodal Chain-of-Thought Reasoning

This research explores explainable AI by integrating multimodal information and Chain-of-Thought reasoning for action assessment. The work's novelty lies in attempting to provide transparency and interpretability in complex AI decision-making processes, which is crucial for building user trust and practical applications.

• •Focuses on explainable AI to increase trust.
• •Utilizes multimodal data and chain-of-thought reasoning.
• •Addresses the challenge of interpretability in AI decision-making.