A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
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] 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 …
Explainable artificial intelligence: objectives, stakeholders, and future research opportunities
Artificial Intelligence (AI) has diffused into many areas of our private and professional life. In
this research note, we describe exemplary risks of black-box AI, the consequent need for …
this research note, we describe exemplary risks of black-box AI, the consequent need for …
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
Abstract Machine learning algorithms enable advanced decision making in contemporary
intelligent systems. Research indicates that there is a tradeoff between their model …
intelligent systems. Research indicates that there is a tradeoff between their model …
Who should i trust: Ai or myself? leveraging human and ai correctness likelihood to promote appropriate trust in ai-assisted decision-making
In AI-assisted decision-making, it is critical for human decision-makers to know when to trust
AI and when to trust themselves. However, prior studies calibrated human trust only based …
AI and when to trust themselves. However, prior studies calibrated human trust only based …
The pragmatic turn in explainable artificial intelligence (XAI)
A Páez - Minds and Machines, 2019 - Springer
In this paper I argue that the search for explainable models and interpretable decisions in AI
must be reformulated in terms of the broader project of offering a pragmatic and naturalistic …
must be reformulated in terms of the broader project of offering a pragmatic and naturalistic …
Deciding fast and slow: The role of cognitive biases in ai-assisted decision-making
Several strands of research have aimed to bridge the gap between artificial intelligence (AI)
and human decision-makers in AI-assisted decision-making, where humans are the …
and human decision-makers in AI-assisted decision-making, where humans are the …
Trustworthy ai
Modern AI systems have become of widespread use in almost all sectors with a strong
impact on our society. However, the very methods on which they rely, based on Machine …
impact on our society. However, the very methods on which they rely, based on Machine …
Personalized explanation in machine learning: A conceptualization
Explanation in machine learning and related fields such as artificial intelligence aims at
making machine learning models and their decisions understandable to humans. Existing …
making machine learning models and their decisions understandable to humans. Existing …