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XAI-Explainable artificial intelligence [PDF]

Science Robotics, 2019
Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence ...
Choi, J., Gunning, D., Miller, T., Stefik, M., Stumpf, S., Yang, G-Z.   +5 more
core   +5 more sources

Explainable Artificial Intelligence (XAI) in Insurance

Risks, 2022
Explainable Artificial Intelligence (XAI) models allow for a more transparent and understandable relationship between humans and machines. The insurance industry represents a fundamental opportunity to demonstrate the potential of XAI, with the industry ...
Emer Owens, Barry Sheehan, Martin Mullins, Martin Cunneen, Juliane Ressel, German Castignani   +5 more
doaj   +2 more sources

Exploring Explainable Artificial Intelligence for Transparent Decision Making [PDF]

E3S Web of Conferences, 2023
Artificial intelligence (AI) has become a potent tool in many fields, allowing complicated tasks to be completed with astounding effectiveness. However, as AI systems get more complex, worries about their interpretability and transparency have become ...
Praveenraj D. David Winster, Victor Melvin, Vennila C., Hussein Alawadi Ahmed, Diyora Pardaeva, Vasudevan N., Avudaiappan T.   +6 more
doaj   +1 more source

A comprehensive evaluation of explainable Artificial Intelligence techniques in stroke diagnosis: A systematic review

Cogent Engineering, 2023
Stroke presents a formidable global health threat, carrying significant risks and challenges. Timely intervention and improved outcomes hinge on the integration of Explainable Artificial Intelligence (XAI) into medical decision-making.
Daraje Kaba Gurmessa, Worku Jimma
doaj   +1 more source

Unlocking the Potential of Explainable Artificial Intelligence in Remote Sensing Big Data

Remote Sensing, 2023
In the ever-evolving landscape of artificial intelligence and big data, the concept of explainable artificial intelligence (XAI) [...]
Peng Liu, Lizhe Wang, Jun Li
doaj   +1 more source

Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research

IEEE Access, 2022
This survey presents a comprehensive review of current literature on Explainable Artificial Intelligence (XAI) methods for cyber security applications. Due to the rapid development of Internet-connected systems and Artificial Intelligence in recent years,
Zhibo Zhang, Hussam Al Hamadi, Ernesto Damiani, Chan Yeob Yeun, Fatma Taher   +4 more
doaj   +1 more source

Knowledge Graphs and Explainable AI in Healthcare

Information, 2022
Building trust and transparency in healthcare can be achieved using eXplainable Artificial Intelligence (XAI), as it facilitates the decision-making process for healthcare professionals.
Enayat Rajabi, Somayeh Kafaie
doaj   +1 more source

Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps [PDF]

, 2020
With advances in reinforcement learning (RL), agents are now being developed in high-stakes application domains such as healthcare and transportation.
Amir, Ofra, André, Elisabeth, Huber, Tobias, Weitz, Katharina   +3 more
core   +2 more sources

Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification

Entropy, 2023
The Korean film market has been rapidly growing, and the importance of explainable artificial intelligence (XAI) in the film industry is also increasing.
Subeen Leem, Jisong Oh, Dayeong So, Jihoon Moon   +3 more
doaj   +1 more source

A systematic approach to enhance the explainability of artificial intelligence in healthcare with application to diagnosis of diabetes

Healthcare Analytics, 2023
Explainable artificial intelligence (XAI) tools are used to enhance the applications of existing artificial intelligence (AI) technologies by explaining their execution processes and results.
Yu-Cheng Wang, Tin-Chih Toly Chen, Min-Chi Chiu   +2 more
doaj   +1 more source