Explainable Artificial Intelligence (XAI) approaches for transparency and accountability in financial decision-making

N Rane, S Choudhary, J Rane - Available at SSRN 4640316, 2023 - papers.ssrn.com
Recently, there has been a growing trend in incorporating Artificial Intelligence (AI) into
financial decision-making, prompting concerns about the transparency and accountability of …

[HTML][HTML] Applications of explainable artificial intelligence in finance—a systematic review of finance, information systems, and computer science literature

P Weber, KV Carl, O Hinz - Management Review Quarterly, 2024 - Springer
Digitalization and technologization affect numerous domains, promising advantages but
also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance …

From black boxes to transparent machines: the quest for explainable AI

S Akhai - Available at SSRN 4390887, 2023 - papers.ssrn.com
Artificial Intelligence (AI) has made remarkable progress in recent years and has become an
indispensable tool for many applications. However, one major limitation of AI is its lack of …

Exploring explainable ai in the financial sector: Perspectives of banks and supervisory authorities

O Kuiper, M van den Berg, J van der Burgt… - Artificial Intelligence and …, 2022 - Springer
Explainable artificial intelligence (xAI) is seen as a solution to making AI systems less of a
“black box”. It is essential to ensure transparency, fairness, and accountability–which are …

A comprehensive survey of explainable artificial intelligence (xai) methods: Exploring transparency and interpretability

A Hanif, A Beheshti, B Benatallah, X Zhang… - … Conference on Web …, 2023 - Springer
Artificial Intelligence (AI) is undergoing a significant transformation. In recent years, the
deployment of AI models, from Analytical to Cognitive and Generative AI, has become …

[PDF][PDF] Ethical implication of artificial intelligence (AI) adoption in financial decision making

OS Owolabi, PC Uche, NT Adeniken… - Computer and …, 2024 - researchgate.net
The integration of artificial intelligence (AI) into the financial sector has raised ethical
concerns that need to be addressed. This paper analyzes the ethical implications of using AI …

Explainable AI in Data Science-Enhancing Model Interpretability and Transparency

P Thunki, SRB Reddy, M Raparthi… - African Journal of …, 2021 - africansciencegroup.com
Explainable Artificial Intelligence (AI) is gaining prominence as a critical component of data
science, particularly in contexts where decision-making is complex and impacts are …

[HTML][HTML] Audience-Dependent explanations for AI-Based risk management tools: a survey

B Hadji Misheva, D Jaggi, JA Posth… - Frontiers in Artificial …, 2021 - frontiersin.org
Artificial Intelligence (AI) is one of the most sought-after innovations in the financial industry.
However, with its growing popularity, there also is the call for AI-based models to be …

A type-2 fuzzy logic approach to explainable AI for regulatory compliance, fair customer outcomes and market stability in the global financial sector

J Adams, H Hagras - … conference on fuzzy systems (FUZZ-IEEE …, 2020 - ieeexplore.ieee.org
The field of Artificial Intelligence (AI) is enjoying unprecedented success and is dramatically
transforming the landscape of the financial services industry. However, there is a strong …

Towards explainable artificial intelligence in banking and financial services

A Hanif - arXiv preprint arXiv:2112.08441, 2021 - arxiv.org
Artificial intelligence (AI) enables machines to learn from human experience, adjust to new
inputs, and perform human-like tasks. AI is progressing rapidly and is transforming the way …