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 …
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 …
Evaluating machine-generated explanations: a “Scorecard” method for XAI measurement science
Introduction Many Explainable AI (XAI) systems provide explanations that are just clues or
hints about the computational models-Such things as feature lists, decision trees, or saliency …
hints about the computational models-Such things as feature lists, decision trees, or saliency …
Exfaux: A weakly supervised approach to explainable fauxtography detection
Fauxtography is a category of multi-modal posts that spreads misleading information on
various online social platforms (eg, Facebook, Twitter, Reddit). A fauxtography post usually …
various online social platforms (eg, Facebook, Twitter, Reddit). A fauxtography post usually …
Requirements engineering for explainable systems
L Chazette - 2023 - repo.uni-hannover.de
Information systems are ubiquitous in modern life and are powered by evermore complex
algorithms that are often difficult to understand. Moreover, since systems are part of almost …
algorithms that are often difficult to understand. Moreover, since systems are part of almost …
Some insights Towards a Unified Semantic Representation of Explanation for eXplainable Artificial Intelligence (XAI)
Among challenges for eXplainable Artificial Intelligence (XAI) is explanation generation. In
this paper we put the stress on this issue by focusing on a semantic representation of the …
this paper we put the stress on this issue by focusing on a semantic representation of the …
What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision
Fauxtography is a category of multi-modal posts that spread misleading information on
various big data online social platforms that generate billions of posts on a daily basis (eg …
various big data online social platforms that generate billions of posts on a daily basis (eg …
Building bridges for better machines: from machine ethics to machine explainability and back
T Speith - 2023 - publikationen.sulb.uni-saarland.de
Be it nursing robots in Japan, self-driving buses in Germany or automated hiring systems in
the USA, complex artificial computing systems have become an indispensable part of our …
the USA, complex artificial computing systems have become an indispensable part of our …
Simd-based exact parallel fuzzy dilation operator for fast computing of fuzzy spatial relations
For decades, fuzzy spatial relations have demonstrated their utility and effectiveness for
visual reasoning, including semantic annotation and object recognition. However, a major …
visual reasoning, including semantic annotation and object recognition. However, a major …
[PDF][PDF] Faculty of Philosophy Department of Philosophy
T Speith - 2023 - core.ac.uk
Be it nursing robots in Japan, self-driving buses in Germany or automated hiring systems in
the USA, complex artificial computing systems have become an indispensable part of our …
the USA, complex artificial computing systems have become an indispensable part of our …