Explainable AI: to reveal the logic of black-box models

Chinu, U Bansal - New Generation Computing, 2024 - Springer
Artificial intelligence (AI) is continuously evolving; however, in the last 10 years, it has gotten
considerably more difficult to explain AI models. With the help of explanations, end users …

An Overview of Explainable AI Methods, Forms and Frameworks

D Kumar, MA Mehta - Explainable AI: Foundations, Methodologies and …, 2022 - Springer
Artificial Intelligence (AI) has become an integral part of many applications in recent years.
AI has reached the masses with the availability of intelligent software to automate systems …

Methods and Metrics for Explaining Artificial Intelligence Models: A Review

P Banerjee, RP Barnwal - Explainable AI: Foundations, Methodologies …, 2022 - Springer
Deep learning (DL) solutions have been facing the long-standing problem of making the
Explainable Artificial Intelligence (XAI) an integral part of the machine learning pipeline. In …

[HTML][HTML] A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends

A Saranya, R Subhashini - Decision analytics journal, 2023 - Elsevier
Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …

A Review on Explainable Artificial Intelligence Methods, Applications, and Challenges

M Belghachi - Indonesian Journal of Electrical Engineering …, 2023 - section.iaesonline.com
Abstract Explainable Artificial Intelligence (XAI) has emerged as a critical area of research
and development in the field of artificial intelligence. This abstract provides an overview of …

Principles of explainable artificial intelligence

R Guidotti, A Monreale, D Pedreschi… - Explainable AI Within the …, 2021 - Springer
The last decade has witnessed the rise of a black box society where obscure classification
models are adopted by Artificial Intelligence systems (AI). The lack of explanations of how AI …

Explainable AI approaches in deep learning: Advancements, applications and challenges

MT Hosain, JR Jim, MF Mridha, MM Kabir - Computers and Electrical …, 2024 - Elsevier
Abstract Explainable Artificial Intelligence refers to developing artificial intelligence models
and systems that can provide clear, understandable, and transparent explanations for their …

[HTML][HTML] Interpreting black-box models: a review on explainable artificial intelligence

V Hassija, V Chamola, A Mahapatra, A Singal… - Cognitive …, 2024 - Springer
Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based
methodological development in a broad range of domains. In this rapidly evolving field …

From black boxes to transparent machines: the quest for explainable AI

S Akhai - Available at SSRN 4390887, 2023 - papers.ssrn.com
Artificial Intelligence (AI) has made remarkable progress in recent years and has become an
indispensable tool for many applications. However, one major limitation of AI is its lack of …

Explainable artificial intelligence for Healthcare applications using Random Forest Classifier with LIME and SHAP

M Panda, SR Mahanta - arXiv preprint arXiv:2311.05665, 2023 - arxiv.org
With the advances in computationally efficient artificial Intelligence (AI) techniques and their
numerous applications in our everyday life, there is a pressing need to understand the …