Integrating Explainable Artificial Intelligence (XAI) into Deep Learning Models: A Framework for Enhancing Transparency, Trust, and Ethical Accountability in High-Stakes Decision Systems
Keywords:
Explainable AI, Deep Learning, Transparency, Ethical AI, Model Interpretability, Trust, Accountability, Black Box ModelsAbstract
Explainable Artificial Intelligence (XAI) has become a vital complement to deep learning, particularly in domains requiring transparency, trust, and ethical oversight. This paper presents a conceptual framework for embedding XAI mechanisms into deep neural networks, aiming to improve interpretability without compromising performance. It explores foundational research, proposes architectural enhancements, and evaluates the implications for domains such as healthcare, criminal justice, and autonomous systems.
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