Clear-Mind AI: Pioneering Transparent Machine Decisions

Author(s)	Mr. Pranav Prashant Thombre, Anish Pradeep Niravane
Country	India
Abstract	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.
Keywords	Explainable Artificial Intelligence (XAI), Transparency, Trust, Accountability, Human-AI collaboration, Decision-making processes, User-centric design, Ethical implications, Fairness, Visualizations, Methodology.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-03-17
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.39163
Short DOI	https://doi.org/g882j4

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International Journal For Multidisciplinary Research