Explainable artificial intelligence: a comprehensive review
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …
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 …
A review on human–AI interaction in machine learning and insights for medical applications
M Maadi, H Akbarzadeh Khorshidi… - International journal of …, 2021 - mdpi.com
Objective: To provide a human–Artificial Intelligence (AI) interaction review for Machine
Learning (ML) applications to inform how to best combine both human domain expertise and …
Learning (ML) applications to inform how to best combine both human domain expertise and …
Interactive clustering: A comprehensive review
In this survey, 105 papers related to interactive clustering were reviewed according to seven
perspectives:(1) on what level is the interaction happening,(2) which interactive operations …
perspectives:(1) on what level is the interaction happening,(2) which interactive operations …
Interactive dimensionality reduction for comparative analysis
Finding the similarities and differences between groups of datasets is a fundamental
analysis task. For high-dimensional data, dimensionality reduction (DR) methods are often …
analysis task. For high-dimensional data, dimensionality reduction (DR) methods are often …
Interactive artificial intelligence: designing for the" two black boxes" problem
J Wenskovitch, C North - Computer, 2020 - ieeexplore.ieee.org
We present a symmetric, collaborative human-artificial intelligence (AI) model using
semantic interaction as a design philosophy. We discuss challenges associated with each …
semantic interaction as a design philosophy. We discuss challenges associated with each …
Glyphboard: Visual exploration of high-dimensional data combining glyphs with dimensionality reduction
Rigorous data science is interdisciplinary at its core. In order to make sense of high-
dimensional data, data scientists need to enter into a dialogue with domain experts. We …
dimensional data, data scientists need to enter into a dialogue with domain experts. We …
Mixed multi-model semantic interaction for graph-based narrative visualizations
Narrative sensemaking is an essential part of understanding sequential data. Narrative
maps are a visual representation model that can assist analysts to understand narratives. In …
maps are a visual representation model that can assist analysts to understand narratives. In …
Albireo: An interactive tool for visually summarizing computational notebook structure
Computational notebooks have become a major medium for data exploration and insight
communication in data science. Although expressive, dynamic, and flexible, in practice they …
communication in data science. Although expressive, dynamic, and flexible, in practice they …
Explainable interactive projections of images
Dimension reductions (DR) help people make sense of image collections by organizing
images in the 2D space based on similarities. However, they provide little support for …
images in the 2D space based on similarities. However, they provide little support for …