Transformative impact of explainable artificial intelligence: bridging complexity and trust
Abstract Artificial Intelligence and Deep Learning have gained widespread popularity in all sectors and industries from healthcare to finance and industrial management. Explainable Artificial Intelligence (XAI) is urgent need to bridge the gap between the needs of society interpretability, and trust...
Saved in:
| Main Authors: | Girish Paliwal, Ashish Kumar, Kanta Prasad Sharma, Deepshika Bhargava, Vijay Mohan Shrimal |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
|
| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00281-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications
by: Sayda Umma Hamida, et al.
Published: (2024-10-01) -
The effectiveness of explainable AI on human factors in trust models
by: Justin C. Cheung, et al.
Published: (2025-07-01) -
Effectiveness of Explainable Artificial Intelligence (XAI) Techniques for Improving Human Trust in Machine Learning Models: A Systematic Literature Review
by: In-On Wiratsin, et al.
Published: (2025-01-01) -
Explainable Supervised Learning Models for Aviation Predictions in Australia
by: Aziida Nanyonga, et al.
Published: (2025-03-01) -
Review of eXplainable artificial intelligence for cybersecurity systems
by: Stéphane Reynaud, et al.
Published: (2025-05-01)