Essay.10-DuJiang-2201111784
Keywords: interpretable models, representation, user-centric interaction
Abstract: This essay navigates the pivotal challenges in Explainable AI (XAI), focusing on interpretable models, representation, and user-centric interaction. Interpretable models seek the delicate balance between accuracy and human understanding, exploring hybrid models and representation techniques. Representation endeavors to translate complex AI insights into user-friendly formats via visualizations and interactive tools. Meanwhile, user-centric interaction aims to design interfaces tailored to diverse users, fostering trust and comprehension. This exploration underscores XAI's quest for AI systems that deliver precise predictions while transparently communicating their decision-making processes, fostering trust across varied user backgrounds in the AI landscape.
Submission Number: 225
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