[HTML][HTML] Notions of explainability and evaluation approaches for explainable artificial intelligence
Abstract Explainable Artificial Intelligence (XAI) has experienced a significant growth over
the last few years. This is due to the widespread application of machine learning, particularly …
the last few years. This is due to the widespread application of machine learning, particularly …
A research agenda for hybrid intelligence: augmenting human intellect with collaborative, adaptive, responsible, and explainable artificial intelligence
We define hybrid intelligence (HI) as the combination of human and machine intelligence,
augmenting human intellect and capabilities instead of replacing them and achieving goals …
augmenting human intellect and capabilities instead of replacing them and achieving goals …
[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 …
[HTML][HTML] Artificial intelligence and knowledge sharing: Contributing factors to organizational performance
The evolution of organizational processes and performance over the past decade has been
largely enabled by cutting-edge technologies such as data analytics, artificial intelligence …
largely enabled by cutting-edge technologies such as data analytics, artificial intelligence …
[HTML][HTML] Evaluating XAI: A comparison of rule-based and example-based explanations
Abstract Current developments in Artificial Intelligence (AI) led to a resurgence of
Explainable AI (XAI). New methods are being researched to obtain information from AI …
Explainable AI (XAI). New methods are being researched to obtain information from AI …
Humans as creativity gatekeepers: Are we biased against AI creativity?
With artificial intelligence (AI) increasingly involved in the creation of organizational and
commercial artifacts, human evaluators' role as creativity gatekeepers of AI-produced …
commercial artifacts, human evaluators' role as creativity gatekeepers of AI-produced …
Explainable artificial intelligence: a systematic review
Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few
years. This is due to the widespread application of machine learning, particularly deep …
years. This is due to the widespread application of machine learning, particularly deep …
How cognitive biases affect XAI-assisted decision-making: A systematic review
The field of eXplainable Artificial Intelligence (XAI) aims to bring transparency to complex AI
systems. Although it is usually considered an essentially technical field, effort has been …
systems. Although it is usually considered an essentially technical field, effort has been …
[HTML][HTML] Explaining deep neural networks: A survey on the global interpretation methods
A substantial amount of research has been carried out in Explainable Artificial Intelligence
(XAI) models, especially in those which explain the deep architectures of neural networks. A …
(XAI) models, especially in those which explain the deep architectures of neural networks. A …
[HTML][HTML] Explanation in artificial intelligence: Insights from the social sciences
T Miller - Artificial intelligence, 2019 - Elsevier
There has been a recent resurgence in the area of explainable artificial intelligence as
researchers and practitioners seek to provide more transparency to their algorithms. Much of …
researchers and practitioners seek to provide more transparency to their algorithms. Much of …