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Fairness in deep learning: A survey on vision and language research
Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …
language processing tasks, neural networks have faced harsh criticism due to some of their …
A review on explainability in multimodal deep neural nets
Artificial Intelligence techniques powered by deep neural nets have achieved much success
in several application domains, most significantly and notably in the Computer Vision …
in several application domains, most significantly and notably in the Computer Vision …
Explainable artificial intelligence for tabular data: A survey
Machine learning techniques are increasingly gaining attention due to their widespread use
in various disciplines across academia and industry. Despite their tremendous success …
in various disciplines across academia and industry. Despite their tremendous success …
[HTML][HTML] Robust integration of blockchain and explainable federated learning for automated credit scoring
This article examines the integration of blockchain, eXplainable Artificial Intelligence (XAI),
especially in the context of federated learning, for credit scoring in financial sectors to …
especially in the context of federated learning, for credit scoring in financial sectors to …
A comprehensive review on financial explainable AI
The success of artificial intelligence (AI), and deep learning models in particular, has led to
their widespread adoption across various industries due to their ability to process huge …
their widespread adoption across various industries due to their ability to process huge …
Debiasing methods for fairer neural models in vision and language research: A survey
Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …
language processing tasks, neural networks have faced harsh criticism due to some of their …
[PDF][PDF] Explanation perspectives from the cognitive sciences—A survey
With growing adoption of AI across fields such as healthcare, finance, and the justice
system, explaining an AI decision has become more important than ever before …
system, explaining an AI decision has become more important than ever before …
Personalising explainable recommendations: literature and conceptualisation
Explanations in intelligent systems aim to enhance a users' understandability of their
reasoning process and the resulted decisions and recommendations. Explanations typically …
reasoning process and the resulted decisions and recommendations. Explanations typically …
A process-aware decision support system for business processes
Business processes in workflows comprise of an ordered sequence of tasks and decisions
to accomplish certain business goals. Each decision point requires the input of a decision …
to accomplish certain business goals. Each decision point requires the input of a decision …
Generative AI for Finance: Applications, Case Studies and Challenges
Generative AI (GAI), which has become increasingly popular nowadays, can be considered
a brilliant computational machine that can not only assist with simple searching and …
a brilliant computational machine that can not only assist with simple searching and …