Results 31 to 40 of about 83,581 (168)

Visualizations for an Explainable Planning Agent

open access: yes, 2018
In this paper, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human in the loop decision making.
Bellamy, Rachel K. E.   +6 more
core   +1 more source

Review of explainable artificial intelligence and its application prospect in earthquake science

open access: yes地震科学进展
In the past decade, Artificial Intelligence (AI), as an important branch of computer science, has made breakthroughs in the research fields of computer vision, natural language processing, machine translation and so on.
Lihong Huang   +11 more
doaj   +1 more source

A Multimodal Approach for the Risk Prediction of Intensive Care and Mortality in Patients with COVID-19

open access: yesDiagnostics, 2021
Background: Although several studies have been launched towards the prediction of risk factors for mortality and admission in the intensive care unit (ICU) in COVID-19, none of them focuses on the development of explainable AI models to define an ICU ...
Vasileios C. Pezoulas   +12 more
doaj   +1 more source

Explainable Software Bot Contributions: Case Study of Automated Bug Fixes

open access: yes, 2019
In a software project, esp. in open-source, a contribution is a valuable piece of work made to the project: writing code, reporting bugs, translating, improving documentation, creating graphics, etc.
Monperrus, Martin
core   +1 more source

Increasing trust and fairness in machine learning applications within the mortgage industry

open access: yesMachine Learning with Applications, 2022
The integration of machine learning in applications provides opportunities for increased efficiency in many organisations. However, the deployment of such systems is often hampered by the lack of insight into how their decisions are reached, resulting in
W. van Zetten, G.J. Ramackers, H.H. Hoos
doaj   +1 more source

Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI

open access: yes, 2021
Many ML models are opaque to humans, producing decisions too complex for humans to easily understand. In response, explainable artificial intelligence (XAI) tools that analyze the inner workings of a model have been created. Despite these tools' strength in translating model behavior, critiques have raised concerns about the impact of XAI tools as a ...
Alikhademi, Kiana   +3 more
openaire   +2 more sources

The Grammar of Interactive Explanatory Model Analysis

open access: yes, 2021
The growing need for in-depth analysis of predictive models leads to a series of new methods for explaining their local and global properties. Which of these methods is the best? It turns out that this is an ill-posed question.
Baniecki, Hubert, Biecek, Przemyslaw
core  

Robot Mindreading and the Problem of Trust [PDF]

open access: yes, 2020
This paper raises three questions regarding the attribution of beliefs, desires, and intentions to robots. The first one is whether humans in fact engage in robot mindreading. If they do, this raises a second question: does robot mindreading foster trust
Páez, Andrés
core   +1 more source

Explainable Artificial Intelligence (XAI) and Supervised Machine Learning-based Algorithms for Prediction of Surface Roughness of Additively Manufactured Polylactic Acid (PLA) Specimens

open access: yesApplied Mechanics, 2023
Structural integrity is a crucial aspect of engineering components, particularly in the field of additive manufacturing (AM). Surface roughness is a vital parameter that significantly influences the structural integrity of additively manufactured parts ...
Akshansh Mishra   +3 more
doaj   +1 more source

Artificial Intelligence and Patient-Centered Decision-Making [PDF]

open access: yes, 2020
Advanced AI systems are rapidly making their way into medical research and practice, and, arguably, it is only a matter of time before they will surpass human practitioners in terms of accuracy, reliability, and knowledge.
Bjerring, Jens Christian, Busch, Jacob
core  

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