A survey on explainable artificial intelligence techniques and challenges

A Hanif, X Zhang, S Wood - 2021 IEEE 25th international …, 2021 - ieeexplore.ieee.org
In the last decade, the world has envisioned tremendous growth in technology with
improved accessibility of data, cloud-computing resources, and the evolution of machine …

Introduction to explainable AI

QV Liao, M Singh, Y Zhang, R Bellamy - … of the 2021 CHI conference on …, 2021 - dl.acm.org
As Artificial Intelligence technologies are increasingly used to make important decisions and
perform autonomous tasks, providing explanations to allow users and stakeholders to …

Explainable artificial intelligence: a comprehensive review

D Minh, HX Wang, YF Li, TN Nguyen - Artificial Intelligence Review, 2022 - Springer
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …

Peeking inside the black-box: a survey on explainable artificial intelligence (XAI)

A Adadi, M Berrada - IEEE access, 2018 - ieeexplore.ieee.org
At the dawn of the fourth industrial revolution, we are witnessing a fast and widespread
adoption of artificial intelligence (AI) in our daily life, which contributes to accelerating the …

Explainable AI: current status and future directions

P Gohel, P Singh, M Mohanty - arXiv preprint arXiv:2107.07045, 2021 - arxiv.org
Explainable Artificial Intelligence (XAI) is an emerging area of research in the field of
Artificial Intelligence (AI). XAI can explain how AI obtained a particular solution (eg …

An empirical evaluation of AI deep explainable tools

Y Hailemariam, A Yazdinejad, RM Parizi… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Success in machine learning has led to a wealth of Artificial Intelligence (AI) systems. A
great deal of attention is currently being set on the development of advanced Machine …

A systematic literature review of explainable AI for software engineering

AH Mohammadkhani, NS Bommi, M Daboussi… - arXiv preprint arXiv …, 2023 - arxiv.org
Context: In recent years, leveraging machine learning (ML) techniques has become one of
the main solutions to tackle many software engineering (SE) tasks, in research studies …

Explainable AI (XAI): Core ideas, techniques, and solutions

R Dwivedi, D Dave, H Naik, S Singhal, R Omer… - ACM Computing …, 2023 - dl.acm.org
As our dependence on intelligent machines continues to grow, so does the demand for more
transparent and interpretable models. In addition, the ability to explain the model generally …

Usable XAI: 10 strategies towards exploiting explainability in the LLM era

X Wu, H Zhao, Y Zhu, Y Shi, F Yang, T Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Explainable AI (XAI) refers to techniques that provide human-understandable insights into
the workings of AI models. Recently, the focus of XAI is being extended towards Large …

Opportunities and challenges in explainable artificial intelligence (xai): A survey

A Das, P Rad - arXiv preprint arXiv:2006.11371, 2020 - arxiv.org
Nowadays, deep neural networks are widely used in mission critical systems such as
healthcare, self-driving vehicles, and military which have direct impact on human lives …