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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
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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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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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Chat-XAI: A New Chatbot to Explain Artificial Intelligence

2021
Explaining artificial intelligence (AI) to people is crucial since the large number of AI-generated results can greatly affect people’s decision-making process in our daily life. Chatbots have great potential to serve as an effective tool to explain AI.
Mingkun Gao   +3 more
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Special issue on Explainable Artificial Intelligence (XAI)

Artificial Intelligence, 2022
Tim Miller 0001   +3 more
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Explainable Artificial Intelligence (XAI) as a foundation for trustworthy artificial intelligence

The rapid integration of artificial intelligence (AI) into various sectors necessitates a focus on trustworthiness, characterized by principles such as fairness, transparency, accountability, robustness, privacy, and ethics. Explainable AI has become essential and central to the achievement of trustworthy AI by answering the "black box" nature of top ...
Nitin Liladhar Rane   +1 more
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Explainable Artificial Intelligence (XAI): An Introduction

Bibliographic reference / Référence bibliographique (RDA/ISBD) BRITO, João B. G. Explainable Artificial Intelligence (XAI): An Introduction — From Black Boxesto Transparent Decision Models. 1st ed. – Ghent : Zenodo, 2024. 82 p. ; 29,7 cm. — ( Data ScienceSeries ; vol. 3 ). DOI 10.5281/zenodo.17545855. ISBN 978-65-01-79603-1.
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Explainable Artificial Intelligence for Cyber Threat Intelligence (XAI-CTI)

IEEE Transactions on Dependable and Secure Computing, 2022
Sagar Samtani   +3 more
openaire   +1 more source

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