Results 61 to 70 of about 84,699 (167)

Explainable gradient convolutional vector fuzzy pattern analysis based on ensemble model for facial expression recognition

Frontiers in Big Data
Facial expression recognition using machine learning involves training algorithms to identify and categorize human emotions based on visual cues from facial features.
Lakshmi Sarvani Videla, Babu Reddy Mukamalla   +1 more
doaj   +1 more source

Unlocking AI’s Potential

Weizenbaum Journal of the Digital Society
Rapid advances in artificial intelligence (AI) have fueled high expectations for the technology’s potential to fundamentally transform our economy and society through automation.
Peter Buxmann, Sara Ellenrieder
doaj   +1 more source

State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis

IEEE Access
Integrating responsible, explainable, and fair artificial intelligence (REF-AI) into medical image analysis has gained significant attention in recent years.
Soheyla Amirian, Fengyi Gao, Nickolas Littlefield, Jonathan H. Hill, Adolph J. Yates, Johannes F. Plate, Liron Pantanowitz, Hooman H. Rashidi, Ahmad P. Tafti   +8 more
doaj   +1 more source

Explainability and the fourth AI revolution

, 2023
This chapter discusses AI from the prism of an automated process for the organization of data, and exemplifies the role that explainability has to play in moving from the current generation of AI systems to the next one, where the role of humans is lifted from that of data annotators working for the AI systems to that of collaborators working with the ...
openaire   +2 more sources

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

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

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

Explainable AI Frameworks: Navigating the Present Challenges and Unveiling Innovative Applications

Algorithms
This study delves into the realm of Explainable Artificial Intelligence (XAI) frameworks, aiming to empower researchers and practitioners with a deeper understanding of these tools. We establish a comprehensive knowledge base by classifying and analyzing
Neeraj Anand Sharma, Rishal Ravikesh Chand, Zain Buksh, A. B. M. Shawkat Ali, Ambreen Hanif, Amin Beheshti   +5 more
doaj   +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 artificial intelligence in air traffic control: effects of expertise on workload, acceptance, and usage intentions

Brain Informatics
Explainability is crucial for establishing user trust in Artificial Intelligence (AI), particularly within safety-critical domains such as Air Traffic Management (ATM) and Air Traffic Control (ATC).
Giulia Cartocci, Alexandre Veyrié, Nicola Cavagnetto, Christophe Hurter, Augustin Degas, Ana Ferreira, Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Bianca Maria Serena Inguscio, Vincenzo Ronca, Gianluca Borghini, Gianluca Di Flumeri, Fabio Babiloni, Pietro Aricò   +14 more
doaj   +1 more source