Results 51 to 60 of about 33,125 (301)

Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder

open access: yes, 2022
Autism Spectrum Disorder (ASD) is a growing concern worldwide. To date there are no drugs that can treat ASD, hence the treatments that can be administered are mainly supportive in nature and aim to reduce, as much as possible, the symptoms induced by ...
Shamim Al Mamun   +14 more
core   +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Implementation of eXplainable Artificial Intelligence: Case Study on the Assessment of Movements to Support Neuromotor Rehabilitation

open access: yes, 2023
Solutions based on Artificial Intelligence are being used to solve problems in various domains. However, many people feel uncomfortable with this type of solution because they must understand how it works.
de Camargo, Luiz Felipe [UNESP]   +2 more
core   +1 more source

Ontologies for Smart Agriculture: A Path Toward Explainable AI—A Systematic Literature Review

open access: yesIEEE Access
Smart agriculture has grown significantly over the last few years, particularly with the integration of advanced technologies (e.g., the Internet of Things, robots, artificial intelligence, etc.), leading to the development of intelligent agricultural ...
Rima Grati   +2 more
doaj   +1 more source

Fuzzy Networks for Explainable Artificial Intelligence

open access: yes2023 IEEE Conference on Artificial Intelligence (CAI), 2023
Advanced machine learning techniques are very powerful in predictive tasks. However, they are mostly weak in explaining the inference process and they are mostly treated as black-box models. Fuzzy Network (FN) is powerful white-box technique which is capable of dealing with complexity and linguistic uncertainty. In this paper, a method is introduced to
Farzad Arabikhan   +3 more
openaire   +1 more source

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

SeXAI: A Semantic Explainable Artificial Intelligence Framework

open access: yes, 2020
The interest in Explainable Artificial Intelligence (XAI) research is dramatically grown during the last few years. The main reason is the need of having systems that beyond being effective are also able to describe how a certain output has been obtained
Ivan Donadello, Mauro Dragoni
core   +1 more source

Explainable Artificial Intelligence and Legal Ethos: Developing Key Performance Indicators for ‘G20 Giants’

open access: yesJournal of Digital Technologies and Law
Objective: to study the “right to explanation” in the context of the PEEC doctrine (public interest, environmental sustainability, economic development, criminal justice) in order to develop key performance indicators reflecting the socio-cultural ...
N. Bhatt, J. N. Bhatt
doaj   +1 more source

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini   +28 more
wiley   +1 more source

The Enlightening Role of Explainable Artificial Intelligence in Chronic Wound Classification

open access: yes, 2021
Artificial Intelligence (AI) has been among the most emerging research and industrial application fields, especially in the healthcare domain, but operated as a black-box model with a limited understanding of its inner working over the past decades.
Guler, Ozgur   +9 more
core   +1 more source

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