Results 31 to 40 of about 35,242 (295)

Rationale Discovery and Explainable AI [PDF]

open access: yes, 2021
The justification of an algorithm’s outcomes is important in many domains, and in particular in the law. However, previous research has shown that machine learning systems can make the right decisions for the wrong reasons: despite high accuracies, not all of the conditions that define the domain of the training data are learned.
Cor Steging, Silja Renooij, Bart Verheij
openaire   +4 more sources

eXplainable AI (XAI) -Lecture 2-

open access: yes, 2021
Segona sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AI6584.mp4 6584 ...
Lapuschkin, Sebastian
core  

eXplainable AI (XAI) - Lecture 1-

open access: yes, 2021
Primera sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AI6583.mp4 6583 ...
Lapuschkin, Sebastian
core  

Explainable deep learning: concepts, methods, and new developments

open access: yes, 2023
733Explainable AI (XAI) is an emerging research field bringing transparency to highly complex and opaque machine learning (ML) models. In recent years, various techniques have been proposed to explain and understand ML models, which have been previously ...
Wojciech Samek, Samek, Wojciech
core   +1 more source

Logic for Explainable AI

open access: yes2023 38th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2023
To appear in the 38th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS ...
openaire   +2 more sources

eXplainable AI (XAI) -Lecture 3-

open access: yes, 2021
Tercera sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AI6585.mp4 6585 ...
Lapuschkin, Sebastian
core  

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

eXplainable AI (2023) - Sessió 2

open access: yes, 2023
Segona sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AISecond session of the seminar given by guest professor Sebastian Lapuschkin, Fraunhofer Institute Berlin, on ...
Lapuschkin, Sebastian
core  

Reviewing the Need for Explainable Artificial Intelligence (xAI) [PDF]

open access: yes, 2021
The diffusion of artificial intelligence (AI) applications in organizations and society has fueled research on explaining AI decisions. The explainable AI (xAI) field is rapidly expanding with numerous ways of extracting information and visualizing the ...
Ioanna Constantiou   +5 more
core   +1 more source

eXplainable AI (2023) - Sessió 1

open access: yes, 2023
Primera sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AIFirst session of the seminar given by guest professor Sebastian Lapuschkin, Fraunhofer Institute Berlin, on ...
Lapuschkin, Sebastian
core  

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