From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable ai
The rising popularity of explainable artificial intelligence (XAI) to understand high-performing
black boxes raised the question of how to evaluate explanations of machine learning (ML) …
black boxes raised the question of how to evaluate explanations of machine learning (ML) …
[HTML][HTML] A survey of explainable artificial intelligence for smart cities
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …
and envisioned the concept of smart cities using informed actions, enhanced user …
Investigating explainability of generative AI for code through scenario-based design
What does it mean for a generative AI model to be explainable? The emergent discipline of
explainable AI (XAI) has made great strides in helping people understand discriminative …
explainable AI (XAI) has made great strides in helping people understand discriminative …
Human-centered explainable ai (xai): From algorithms to user experiences
QV Liao, KR Varshney - arXiv preprint arXiv:2110.10790, 2021 - arxiv.org
In recent years, the field of explainable AI (XAI) has produced a vast collection of algorithms,
providing a useful toolbox for researchers and practitioners to build XAI applications. With …
providing a useful toolbox for researchers and practitioners to build XAI applications. With …
" Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
Despite the proliferation of explainable AI (XAI) methods, little is understood about end-
users' explainability needs and behaviors around XAI explanations. To address this gap and …
users' explainability needs and behaviors around XAI explanations. To address this gap and …
What is human-centered about human-centered AI? A map of the research landscape
T Capel, M Brereton - Proceedings of the 2023 CHI conference on …, 2023 - dl.acm.org
The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …
high expectations of its benefits and dire predictions of misuse. While AI systems have …
[HTML][HTML] Effects of Explainable Artificial Intelligence on trust and human behavior in a high-risk decision task
Understanding the recommendations of an artificial intelligence (AI) based assistant for
decision-making is especially important in high-risk tasks, such as deciding whether a …
decision-making is especially important in high-risk tasks, such as deciding whether a …
Investigating how practitioners use human-ai guidelines: A case study on the people+ ai guidebook
Artificial intelligence (AI) presents new challenges for the user experience (UX) of products
and services. Recently, practitioner-facing resources and design guidelines have become …
and services. Recently, practitioner-facing resources and design guidelines have become …
Ignore, trust, or negotiate: understanding clinician acceptance of AI-based treatment recommendations in health care
Artificial intelligence (AI) in healthcare has the potential to improve patient outcomes, but
clinician acceptance remains a critical barrier. We developed a novel decision support …
clinician acceptance remains a critical barrier. We developed a novel decision support …
Cf-gnnexplainer: Counterfactual explanations for graph neural networks
Given the increasing promise of graph neural networks (GNNs) in real-world applications,
several methods have been developed for explaining their predictions. Existing methods for …
several methods have been developed for explaining their predictions. Existing methods for …