Results 101 to 110 of about 35,242 (295)

Towards Explainable, Compliant and Adaptive Human-Automation Interaction [Elektronisk resurs]

, 2020
AI-based systems use trained machine learning models to make important decisions in critical contexts. The EU guidelines for trustworthy AI emphasise the respect for human autonomy, prevention of harm, fairness, and explicability. Many successful machine
Gallina, Barbara,, McKeever, Steve,, Hamfelt, Andreas,, Costantini, Stefania,, Paçacı, Görkem,, Johnson, David,, Crisan, Gloria-Cerasela,, Dell'Acqua, Pierangelo,   +7 more
core  

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

New 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

Explainable AI for Alzheimer Detection: A Review of Current Methods and Applications

Applied Sciences
Alzheimer’s disease (AD) is the most common cause of dementia, marked by cognitive decline and memory loss. Recently, machine learning and deep learning techniques have introduced promising solutions for improving AD detection through MRI, especially in ...
Fatima Hasan Saif, Mohamed Nasser Al-Andoli, Wan Mohd Yaakob Wan Bejuri   +2 more
doaj   +1 more source

Profound Leadership Strategies: Transcending the Leadership Crisis in the Age of Artificial Intelligence

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
wiley   +1 more source

Explainable AI decision support improves accuracy during telehealth strep throat screening

Communications Medicine
Background Artificial intelligence-based (AI) clinical decision support systems (CDSS) using unconventional data, like smartphone-acquired images, promise transformational opportunities for telehealth; including remote diagnosis. Although such solutions’
Catalina Gomez, Brittany-Lee Smith, Alisa Zayas, Mathias Unberath, Therese Canares   +4 more
doaj   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Human centred explainable AI decision-making in healthcare

Journal of Responsible Technology
Human-centred AI (HCAI11 HCAI – Human-centred artificial intelligence) implies building AI systems in a manner that comprehends human aims, needs, and expectations by assisting, interacting, and collaborating with humans.
Catharina M. van Leersum, Clara Maathuis
doaj   +1 more source

Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li, Guilin Meng, Zijie Wang, Xiao Hu, Jing Cheng, Chu Chen, Tiannan Yang, Jiaxin Luo, Zizhen Meng, Xueyun Liu, Qi Li   +10 more
wiley   +1 more source

Ethics of AI Explained

The International FLAIRS Conference Proceedings
This tutorial introduces participants to the main issues and themes pertaining to ethics of artificial intelligence (AI). Analyzing what ethics of AI is by reflecting on our understanding of both ethics and AI, the aim is to clarify and expose how ethics of AI can be conceived in different ways depending on the approach one adopts.
openaire   +2 more sources

Explainable human-cognitive AI as a habit-based behavior change emerging technology for system engineering: A two-round Delphi study with human experts in development life cycle

Results in Engineering
To tackle the Artificial Intelligence (AI) explainability challenges for advanced software system engineering and quality assurance, human expertise in the loop is the key system thinking element to enhance decision-making and reasoning of the complex ...
Pantea Keikhosrokiani
doaj   +1 more source