What do we want from Explainable Artificial Intelligence (XAI)?–A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …
[HTML][HTML] Transparency and explainability of AI systems: From ethical guidelines to requirements
Abstract Context and Motivation Recent studies have highlighted transparency and
explainability as important quality requirements of AI systems. However, there are still …
explainability as important quality requirements of AI systems. However, there are still …
Explainability as a non-functional requirement: challenges and recommendations
Software systems are becoming increasingly complex. Their ubiquitous presence makes
users more dependent on their correctness in many aspects of daily life. As a result, there is …
users more dependent on their correctness in many aspects of daily life. As a result, there is …
Xair: A framework of explainable ai in augmented reality
Explainable AI (XAI) has established itself as an important component of AI-driven
interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives …
interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives …
Who needs explanation and when? Juggling explainable AI and user epistemic uncertainty
In recent years, AI explainability (XAI) has received wide attention. Although XAI is expected
to play a positive role in decision-making and advice acceptance, various opposing effects …
to play a positive role in decision-making and advice acceptance, various opposing effects …
Transparency and explainability of AI systems: ethical guidelines in practice
Abstract [Context and Motivation] Recent studies have highlighted transparency and
explainability as important quality requirements of AI systems. However, there are still …
explainability as important quality requirements of AI systems. However, there are still …
Explainable software systems: from requirements analysis to system evaluation
The growing complexity of software systems and the influence of software-supported
decisions in our society sparked the need for software that is transparent, accountable, and …
decisions in our society sparked the need for software that is transparent, accountable, and …
[HTML][HTML] Governing ethical AI transformation: a case study of AuroraAI
J Leikas, A Johri, M Latvanen, N Wessberg… - Frontiers in Artificial …, 2022 - frontiersin.org
How can the public sector use AI ethically and responsibly for the benefit of people? The
sustainable development and deployment of artificial intelligence (AI) in the public sector …
sustainable development and deployment of artificial intelligence (AI) in the public sector …
Examining the effects of power status of an explainable artificial intelligence system on users' perceptions
Contrary to the traditional concept of artificial intelligence, explainable artificial intelligence
(XAI) aims to provide explanations for the prediction results and make users perceive the …
(XAI) aims to provide explanations for the prediction results and make users perceive the …
Map** the landscape of ethical considerations in explainable AI research
With its potential to contribute to the ethical governance of AI, eXplainable AI (XAI) research
frequently asserts its relevance to ethical considerations. Yet, the substantiation of these …
frequently asserts its relevance to ethical considerations. Yet, the substantiation of these …