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Explainable artificial intelligence for molecular design in pharmaceutical research. [PDF]

Chem Sci
Lamens A, Bajorath J.
europepmc   +1 more source

Commentary on "Explainable artificial intelligence for predicting dengue outbreaks in Bangladesh using eco-climatic triggers". [PDF]

Glob Epidemiol
Singh I, Kumar A, Desai NN, Paul JR.
europepmc   +1 more source

Unveiling the Algorithm: The Role of Explainable Artificial Intelligence in Modern Surgery. [PDF]

Healthcare (Basel)
Lopes S, Mascarenhas M, Fonseca J, Fernandes MGO, Leite-Moreira AF.   +4 more
europepmc   +1 more source

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Explainable Artificial Intelligence (XAI)

Journal of Nonlinear Analysis and Optimization, 2023
Explainable Artificial Intelligence (XAI) has emerged as a critical facet in the realm of machine learning and artificial intelligence, responding to the increasing complexity of models, particularly deep neural networks, and the subsequent need for transparent decision making processes.
Ranu Sewada, Ashwani Jangid, Piyush Kumar, Neha Mishra   +3 more
openaire   +2 more sources

Explainable Artificial Intelligence (XAI) for IoT

2023
Artificial Intelligence and Machine Learning are the latest topics across industries. A lot of concentration has been given to these areas and still the adoption has been challenged by users and experts in this field in the search for some kind of solution to be provided that the output can be trusted by all.
Prashant C. Dhas, Parikshit N. Mahalle, Gitanjali R. Shinde   +2 more
openaire   +1 more source

Explainable Artificial Intelligence (XAI)

Explainable AI (XAI) is important in situations where decisions have significant effects on the results to make the AI systems more reliable, transparent, and make people understand how AI systems work. In this chapter, an overview of AI, its evolution are discussed, emphasizing the need for robust policy and regulatory frameworks for responsible AI ...
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DARPA's explainable artificial intelligence (XAI) program

Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019
The DARPA's Explainable Artificial Intelligence (XAI) program endeavors to create AI systems whose learned models and decisions can be understood and appropriately trusted by end users. This talk will summarize the XAI program and present highlights from these Phase 1 evaluations.
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Advances in Explainable Artificial Intelligence (xAI) in Finance

Finance Research Letters
Explainable Artificial Intelligence addresses the black box problem associated with AI, aiming to promote greater transparency, traceability, and trust in applications of AI. xAI is becoming a vital element in finance and economics in fields like risk management, credit decisions, and regulatory compliance.
Klein, Tony, Walther, Thomas
openaire   +1 more source