[HTML][HTML] Explainable and interpretable machine learning and data mining
The growing number of applications of machine learning and data mining in many domains—
from agriculture to business, education, industrial manufacturing, and medicine—gave rise …
from agriculture to business, education, industrial manufacturing, and medicine—gave rise …
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 …
[HTML][HTML] A Data-Centric AI Paradigm for Socio-Industrial and Global Challenges
A Majeed, SO Hwang - Electronics, 2024 - mdpi.com
Due to huge investments by both the public and private sectors, artificial intelligence (AI) has
made tremendous progress in solving multiple real-world problems such as disease …
made tremendous progress in solving multiple real-world problems such as disease …
Identifying explanation needs of end-users: Applying and extending the XAI question bank
L Sipos, U Schäfer, K Glinka, C Müller-Birn - Proceedings of Mensch und …, 2023 - dl.acm.org
Explainable Artificial Intelligence (XAI) is concerned with making the decisions of AI systems
interpretable to humans. Explanations are typically developed by AI experts and focus on …
interpretable to humans. Explanations are typically developed by AI experts and focus on …
Toward eliminating hallucinations: Gpt-based explanatory ai for intelligent textbooks and documentation
Traditional explanatory resources, such as user manuals and textbooks, often contain
content that may not cater to the diverse backgrounds and information needs of users. Yet …
content that may not cater to the diverse backgrounds and information needs of users. Yet …
On the explainability of financial robo-advice systems
Significant investment and development have been made in integrating artificial intelligence
(AI) into finance applications. However, the opacity of AI systems raises concerns about …
(AI) into finance applications. However, the opacity of AI systems raises concerns about …
[HTML][HTML] 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 …
[HTML][HTML] Crossing the Trust Gap in Medical AI: Building an Abductive Bridge for xAI
SS Gouveia, J Malík - Philosophy & Technology, 2024 - Springer
In this paper, we argue that one way to approach what is known in the literature as the “Trust
Gap” in Medical AI is to focus on explanations from an Explainable AI (xAI) perspective …
Gap” in Medical AI is to focus on explanations from an Explainable AI (xAI) perspective …
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis
Significant investment and development have gone into integrating Artificial Intelligence (AI)
in medical and healthcare applications, leading to advanced control systems in medical …
in medical and healthcare applications, leading to advanced control systems in medical …