Clear-Mind AI: Pioneering Transparent Machine Decisions

The integration of Artificial Intelligence (AI) into critical decision-making processes across various sectors, including healthcare and criminal justice, underscores the necessity of Explainable Artificial Intelligence (XAI) systems. This paper delves into the theoretical foundations of human decision-making and their implications for designing user centric XAI systems. Our findings emphasize the importance of aligning XAI features with human reasoning processes to improve decision-making outcomes, ensuring greater transparency, trust, and accountability in AI-driven systems.