Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

L Alzubaidi, A Al-Sabaawi, J Bai… - … Journal of Intelligent …, 2023 - Wiley Online Library
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

Interpretability research of deep learning: A literature survey

B Xua, G Yang - Information Fusion, 2024 - Elsevier
Deep learning (DL) has been widely used in various fields. However, its black-box nature
limits people's understanding and trust in its decision-making process. Therefore, it becomes …

Adaptive and intelligent robot task planning for home service: A review

H Li, X Ding - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The uncertainty and dynamic of home environment present great challenges to the task
planning of service robots. The nature of the home environment is highly unstructured, with a …

Statistics-Physics-Based Interpretation of the Classification Reliability of Convolutional Neural Networks in Industrial Automation Domain

K Wang, Z Chen, M Zhu, SM Yiu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Artificial intelligence-driven automation has gradually become the technical trend of the new
automation era. At present, many artificial intelligence technologies have been applied to …

Extraction of evolutionary factors in smart manufacturing systems with heterogeneous product preferences and trust levels

K Cui, Z Hong, Y Feng, Z Li, X Song, S Lou… - … Applications of Artificial …, 2024 - Elsevier
Smart products, as an increasingly significant part of smart manufacturing systems, have
brought users extreme experiences. To provide a significantly better user experience and …

Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems

F Dehghani, M Dibaji, F Anzum, L Dey… - arXiv preprint arXiv …, 2024 - arxiv.org
Artificial Intelligence (AI) has paved the way for revolutionary decision-making processes,
which if harnessed appropriately, can contribute to advancements in various sectors, from …

Responsible artificial intelligence and bias mitigation in deep learning systems

ML Gavrilova - 2023 27th International Conference Information …, 2023 - ieeexplore.ieee.org
Responsible, ethical and trustworthy decision making powered by the new generation of
artificial intelligence (AI) and deep learning (DL) recently emerged as one of the key societal …

[HTML][HTML] How Interpretable Is “Interpretable” Machine Learning?

HC Siu, K Leahy, M Mann - 2024 - mit-serc.pubpub.org
The modern machine learning (ML) revolution has led to ML systems deployed at scale for
the first time, substantially impacting society beyond computer science experts. It is critical …

A Comprehensive Review of Trustworthy, Ethical, and Explainable Computer Vision Advancements in Online Social Media

F Anzum, AZ Asha, L Dey, A Gavrilov… - … Perspectives on the …, 2024 - igi-global.com
Responsible, ethical, and trustworthy decision-making powered by the new generation of
artificial intelligence (AI) and deep learning (DL) recently emerged as one of the key societal …

Towards Interpretability in Fintech Applications via Knowledge Augmentation

C Silva, T Faria, B Ribeiro - EPIA Conference on Artificial Intelligence, 2023 - Springer
The financial industry is a major player in the digital landscape and a key driver of digital
transformation in the economy. In recent times, the financial sector has come under scrutiny …