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Enhanced intrusion detection in cybersecurity through dimensionality reduction and explainable artificial intelligence. [PDF]

Sci Rep
Alamro H, Alahmari S, Nemri N, Aljebreen M, Alhashmi AA, Alamro S, Alqazzaz A, Al Duhayyim M.   +7 more
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Explainable artificial intelligence in ophthalmology

Current Opinion in Ophthalmology, 2023
Purpose of review Despite the growing scope of artificial intelligence (AI) and deep learning (DL) applications in the field of ophthalmology, most have yet to reach clinical adoption. Beyond model performance metrics, there has been an increasing emphasis on the need for explainability of proposed DL models.
Ting Fang, Tan, Peilun, Dai, Xiaoman, Zhang, Liyuan, Jin, Stanley, Poh, Dylan, Hong, Joshua, Lim, Gilbert, Lim, Zhen Ling, Teo, Nan, Liu, Daniel Shu Wei, Ting   +10 more
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Principles of Explainable Artificial Intelligence

2021
The last decade has witnessed the rise of a black box society where obscure classification models are adopted by Artificial Intelligence systems (AI). The lack of explanations of how AI systems make decisions is a key ethical issue to their adoption in socially sensitive and safety-critical contexts.
Guidotti, R., Monreale, A., Pedreschi, Dino, Giannotti, Fosca   +3 more
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Explainable Artificial Intelligence: An Updated Perspective

2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO), 2022
Artificial intelligence has become mainstream and its applications will only proliferate. Specific measures must be done to integrate such systems into society for the general benefit. One of the tools for improving that is explainability which boosts trust and understanding of decisions between humans and machines.
Agneza Krajna, Mihael Kovac, Mario Brcic, Ana Sarcevic   +3 more
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Explainable Artificial Intelligence

2023
The explainability of artificial intelligence (AI) is one of the central challenges for the wider use of the new technology in many industries and applications. The more powerful and efficient the algorithms of AI work, the less it is usually comprehensible to users.
Zhixin Pan, Prabhat Mishra
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Explainable Artificial Intelligence for Cybersecurity

Computers and Electrical Engineering, 2022
Deepak Kumar Sharma, Jahanavi Mishra, Aeshit Singh, Raghav Govil, Gautam Srivastava 0001, Jerry Chun-Wei Lin   +5 more
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Explainable Artificial Intelligence: Requirements for Explainability

Proceedings of the 2022 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2022
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Chatbots and Explainable Artificial Intelligence

2022 IEEE International Symposium on Technology and Society (ISTAS), 2022
Marcus Wigan, Greg Adamson, Priya Rani, Nick Dyson, Fabian Horton   +4 more
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Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Information Fusion, 2023
Khan Muhammad, Riccardo Guidotti, Javier Del Ser   +2 more
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