Balancing Accuracy and Interpretation: An Empirical Study of Explainable AI Techniques in Business Critical Predictive Models
Views: 9
Author : Sungho Kim
Affiliation : Korea University
Country : South Korea
Category : Cloud Computing
Volume, Issue, Month, Year : 17, 1, March, 2026
Abstract :
The increasing use of artificial intelligence in business has led to widespread adoption of predictive models in critical decision-making processes. While highly accurate models offer strong performance, their lack of interpretability raises concerns related to trust, accountability, and regulatory compliance.
Keyword : explainable artificial intelligence
Journal/ Proceedings Name : International Journal of Grid Computing & Applications (IJGCA)
URL : https://aircconline.com/ijgca/V17N1/17126ijgca07.pdf
User Name : tania
Posted 08-10-2026 on 22:39:22 AEDT
Related Research Work
- An Approach To Reduce Energy Consumption In Cloud Data Centers Using Harmony Search Algorithm
- Design And Implementation Of An End-to-end Deep Learning System For Autonomous Driving: From Visual Perception To Intelligent Vehicle Control
- Data Distribution Handling On Cloud For Deployment Of Big Data
- Multi-campus Universities Private-cloud Migration Infrastructure