Results 11 to 20 of about 4,042,759 (279)

How to Make AlphaGo’s Children Explainable

Philosophies, 2022
Under the rubric of understanding the problem of explainability of AI in terms of abductive cognition, I propose to review the lessons from AlphaGo and her more powerful successors.
Woosuk Park
doaj   +1 more source

The false hope of current approaches to explainable artificial intelligence in health care

The Lancet: Digital Health, 2021
Summary: The black-box nature of current artificial intelligence (AI) has caused some to question whether AI must be explainable to be used in high-stakes scenarios such as medicine.
Marzyeh Ghassemi, PhD, Luke Oakden-Rayner, Andrew L Beam, PhD   +2 more
doaj   +1 more source

Review of Software Engineering Techniques and Methods Based on Explainable Artificial Intelligence [PDF]

Jisuanji kexue, 2023
In terms of information processing and decision-making,artificial intelligence(AI) methods have shown superior performance compared to traditional methods.However,when AI models are put into production,their output results are not guaranteed to be ...
XING Ying
doaj   +1 more source

Explainable AI: A Review of Machine Learning Interpretability Methods

Entropy, 2020
Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks.
Pantelis Linardatos, Vasilis Papastefanopoulos, S. Kotsiantis   +2 more
semanticscholar   +1 more source

A Review of Trustworthy and Explainable Artificial Intelligence (XAI)

IEEE Access, 2023
The advancement of Artificial Intelligence (AI) technology has accelerated the development of several systems that are elicited from it. This boom has made the systems vulnerable to security attacks and allows considerable bias in order to handle errors ...
Vinay Chamola, Vikas Hassija, A Razia Sulthana, Debshishu Ghosh, Divyansh Dhingra, Biplab Sikdar   +5 more
doaj   +1 more source

Explainable AI: A Neurally-Inspired Decision Stack Framework

Biomimetics, 2022
European law now requires AI to be explainable in the context of adverse decisions affecting the European Union (EU) citizens. At the same time, we expect increasing instances of AI failure as it operates on imperfect data.
Muhammad Salar Khan, Mehdi Nayebpour, Meng-Hao Li, Hadi El-Amine, Naoru Koizumi, James L. Olds   +5 more
doaj   +1 more source

Explainable AI (XAI): Core Ideas, Techniques, and Solutions

ACM Computing Surveys, 2022
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 is now the gold standard for building trust and deployment of ...
Rudresh Dwivedi, Devam Dave, Het Naik, Smiti Singhal, O. Rana, Pankesh Patel, Bin Qian, Z. Wen, Tejal Shah, Graham Morgan, R. Ranjan   +10 more
semanticscholar   +1 more source

Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy

npj Digital Medicine, 2023
White light endoscopy is the most pivotal tool for detecting early gastric neoplasms. Previous artificial intelligence (AI) systems were primarily unexplainable, affecting their clinical credibility and acceptability.
Zehua Dong, Junxiao Wang, Yanxia Li, Yunchao Deng, Wei Zhou, Xiaoquan Zeng, Dexin Gong, Jun Liu, Jie Pan, Renduo Shang, Youming Xu, Ming Xu, Lihui Zhang, Mengjiao Zhang, Xiao Tao, Yijie Zhu, Hongliu Du, Zihua Lu, Liwen Yao, Lianlian Wu, Honggang Yu   +20 more
doaj   +1 more source

Designing and Evaluating User Experience of an AI-Based Defense System

IEEE Access, 2023
In recent years, artificial intelligence (AI) has been applied in various fields, with rapid expansion of the scope of AI-human interactions. However, most AI technologies continue to exhibit black-box characteristics, i.e., their decisions and actions ...
Sunyoung Park, Hyun K. Kim, Jaehyun Park, Yuryeon Lee   +3 more
doaj   +1 more source

A mental models approach for defining explainable artificial intelligence

BMC Medical Informatics and Decision Making, 2021
Background Wide-ranging concerns exist regarding the use of black-box modelling methods in sensitive contexts such as healthcare. Despite performance gains and hype, uptake of artificial intelligence (AI) is hindered by these concerns.
Michael Merry, Pat Riddle, Jim Warren
doaj   +1 more source