A review of taxonomies of explainable artificial intelligence (XAI) methods
T Speith - Proceedings of the 2022 ACM conference on fairness …, 2022 - dl.acm.org
The recent surge in publications related to explainable artificial intelligence (XAI) has led to
an almost insurmountable wall if one wants to get started or stay up to date with XAI. For this …
an almost insurmountable wall if one wants to get started or stay up to date with XAI. For this …
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] Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
Understanding black box models has become paramount as systems based on opaque
Artificial Intelligence (AI) continue to flourish in diverse real-world applications. In response …
Artificial Intelligence (AI) continue to flourish in diverse real-world applications. In response …
IEEE P7001: A proposed standard on transparency
This paper describes IEEE P7001, a new draft standard on transparency of autonomous
systems. In the paper, we outline the development and structure of the draft standard. We …
systems. In the paper, we outline the development and structure of the draft standard. We …
From responsibility to reason-giving explainable artificial intelligence
We argue that explainable artificial intelligence (XAI), specifically reason-giving XAI, often
constitutes the most suitable way of ensuring that someone can properly be held …
constitutes the most suitable way of ensuring that someone can properly be held …
Considerations for a more ethical approach to data in AI: On data representation and infrastructure
A Baird, B Schuller - Frontiers in big Data, 2020 - frontiersin.org
Data shapes the development of Artificial Intelligence (AI) as we currently know it, and for
many years centralized networking infrastructures have dominated both the sourcing and …
many years centralized networking infrastructures have dominated both the sourcing and …
On the relation of trust and explainability: Why to engineer for trustworthiness
Recently, requirements for the explainability of software systems have gained prominence.
One of the primary motivators for such requirements is that explainability is expected to …
One of the primary motivators for such requirements is that explainability is expected to …
Adapting a kidney exchange algorithm to align with human values
The efficient and fair allocation of limited resources is a classical problem in economics and
computer science. In kidney exchanges, a central market maker allocates living kidney …
computer science. In kidney exchanges, a central market maker allocates living kidney …
Explainability auditing for intelligent systems: a rationale for multi-disciplinary perspectives
National and international guidelines for trustworthy artificial intelligence (AI) consider
explainability to be a central facet of trustworthy systems. This paper outlines a multi …
explainability to be a central facet of trustworthy systems. This paper outlines a multi …
Explainable goal-driven agents and robots-a comprehensive review
Recent applications of autonomous agents and robots have brought attention to crucial trust-
related challenges associated with the current generation of artificial intelligence (AI) …
related challenges associated with the current generation of artificial intelligence (AI) …