Year: 2024
Type: article
Abstract: Deep learning influences industry; hence, explainable artificial intelligence (XAI) is significant. Transparent deep learning models enhance the interpretability of AI-driven decision support systems. SHAP, LIME, and model-specific interpretability elucidate intricate AI system decisions. SHAP evaluates predictions in cooperative game theory. It assesses the least decision-making impact of each feature in the model. Locally interpretable surrogate forecasts are analogous to LIME black-box outcomes. Model behavior may validate expectations and expose deficiencies.
Author: Amith Kumar Reddy
Institution: PNC Financial Services (United States)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407750854