Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey

W Ding, M Abdel-Basset, H Hawash, AM Ali - Information Sciences, 2022 - Elsevier
The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …

Survey on explainable AI: From approaches, limitations and applications aspects

W Yang, Y Wei, H Wei, Y Chen, G Huang, X Li… - Human-Centric …, 2023 - Springer
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …

Explanations in autonomous driving: A survey

D Omeiza, H Webb, M Jirotka… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …

What and When to Explain? On-road Evaluation of Explanations in Highly Automated Vehicles

G Kim, D Yeo, T Jo, D Rus, SJ Kim - … of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Explanations in automated vehicles help passengers understand the vehicle's state and
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …

Exploring local explanation of practical industrial AI applications: A systematic literature review

TTH Le, AT Prihatno, YE Oktian, H Kang, H Kim - Applied Sciences, 2023 - mdpi.com
In recent years, numerous explainable artificial intelligence (XAI) use cases have been
developed, to solve numerous real problems in industrial applications while maintaining the …

Anomaly diagnosis of connected autonomous vehicles: A survey

Y Fang, H Min, X Wu, W Wang, X Zhao… - Information …, 2024 - Elsevier
Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …

Safety assurance of artificial intelligence-based systems: A systematic literature review on the state of the art and guidelines for future work

AVS Neto, JB Camargo, JR Almeida… - IEEE Access, 2022 - ieeexplore.ieee.org
The objective of this research is to present the state of the art of the safety assurance of
Artificial Intelligence (AI)-based systems and guidelines on future correlated work. For this …

Explaining a machine-learning lane change model with maximum entropy Shapley values

M Li, Y Wang, H Sun, Z Cui, Y Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) techniques have been widely implemented in the domain of
autonomous vehicles (AVs). However, existing AI techniques, such as deep learning and …

Explainable ai for safe and trustworthy autonomous driving: A systematic review

A Kuznietsov, B Gyevnar, C Wang, S Peters… - arxiv preprint arxiv …, 2024 - arxiv.org
Artificial Intelligence (AI) shows promising applications for the perception and planning tasks
in autonomous driving (AD) due to its superior performance compared to conventional …

TimelyTale: a multimodal dataset approach to assessing passengers' explanation demands in highly automated vehicles

G Kim, S Hwang, M Seong, D Yeo, D Rus… - Proceedings of the ACM …, 2024 - dl.acm.org
Explanations in automated vehicles enhance passengers' understanding of vehicle decision-
making, mitigating negative experiences by increasing their sense of control. These …