Explainable artificial intelligence (XAI) in finance: a systematic literature review
J Černevičienė, A Kabašinskas - Artificial Intelligence Review, 2024 - Springer
As the range of decisions made by Artificial Intelligence (AI) expands, the need for
Explainable AI (XAI) becomes increasingly critical. The reasoning behind the specific …
Explainable AI (XAI) becomes increasingly critical. The reasoning behind the specific …
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data
In this paper we introduce a new class of software tools engaged in delivering successful
explanations of complex processes on top of basic Explainable AI (XAI) software systems …
explanations of complex processes on top of basic Explainable AI (XAI) software systems …
An objective metric for Explainable AI: How and why to estimate the degree of explainability
This paper presents a new method for objectively measuring the explainability of textual
information, such as the outputs of Explainable AI (XAI). We introduce a metric called …
information, such as the outputs of Explainable AI (XAI). We introduce a metric called …
When an explanation is not enough: an overview of evaluation metrics of explainable AI systems in the healthcare domain
E Pietilä, PA Moreno-Sánchez - Mediterranean Conference on Medical …, 2023 - Springer
Despite the promising advantages in diagnostics and treatment that Artificial Intelligence (AI)
and Machine Learning (ML) can bring to the healthcare domain, the complexity and black …
and Machine Learning (ML) can bring to the healthcare domain, the complexity and black …
[HTML][HTML] Developing guidelines for functionally-grounded evaluation of explainable artificial intelligence using tabular data
Abstract Explainable Artificial Intelligence (XAI) techniques are used to provide transparency
to complex, opaque predictive models. However, these techniques are often designed for …
to complex, opaque predictive models. However, these techniques are often designed for …
How to improve the explanatory power of an intelligent textbook: a case study in legal writing
Explanatory processes are at the core of scientific investigation, legal reasoning, and
education. However, effectively explaining complex or large amounts of information, such as …
education. However, effectively explaining complex or large amounts of information, such as …
Perlocution vs Illocution: How Different Interpretations of the Act of Explaining Impact on the Evaluation of Explanations and XAI
This article discusses the concepts of illocutionary, perlocutionary, and locutionary acts, and
their role in understanding explanations. Illocutionary acts concern the speaker's intended …
their role in understanding explanations. Illocutionary acts concern the speaker's intended …
An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms
Compliance with the European Union's Platform-to-Business (P2B) Regulation helps
fostering a fair, ethical and secure online environment. However, it is challenging for online …
fostering a fair, ethical and secure online environment. However, it is challenging for online …
How much informative is your XAI? A decision-making assessment task to objectively measure the goodness of explanations
There is an increasing consensus about the effectiveness of user-centred approaches in the
explainable artificial intelligence (XAI) field. Indeed, the number and complexity of …
explainable artificial intelligence (XAI) field. Indeed, the number and complexity of …
Study on the Helpfulness of Explainable Artificial Intelligence
Abstract Explainable Artificial Intelligence (XAI) is essential for building advanced machine
learning-powered applications, especially in critical domains such as medical diagnostics or …
learning-powered applications, especially in critical domains such as medical diagnostics or …