Volume 4, Issue 1, 2023 – Special Issue on Designing Ethical AI Using A Human-Centered Approach: Explainability and Accuracy Toward Trustworthiness
Editorial
Can God Be an AI With Robo-Priests? by M. G. Michael, Katina Michael and Terri Bookman
Guest Editorial
Designing AI Using a Human-Centered Approach: Explainability and Accuracy Toward Trustworthiness by Jordan Richard Schoenherr, Roba Abbas, Katina Michael, Pablo Rivas, and Theresa Dirndorfer Anderson
Special Issue Papers
The Re-Conception of AI: Beyond Artificial, and Beyond Intelligence by Roger Clarke
Abstract
Explaining Technology We Do Not Understand by Greg Adamson
Abstract
It Is Not “Accuracy vs. Explainability”—We Need Both for Trustworthy AI Systems by Dragutin Petkovic
Abstract
In-Group Bias in Deep Learning-Based Face Recognition Models Due to Ethnicity and Age by Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa and Nalini K. Ratha
Abstract
Challenges of Deep Learning in Medical Image Analysis—Improving Explainability and Trust by Tribikram Dhar, Nilanjan Dey, Surekha Borra and R. Simon Sherratt
Abstract
Automatic and Efficient Framework for Identifying Multiple Neurological Disorders From EEG Signals by Md. Nurul Ahad Tawhid, Siuly Siuly, Kate Wang and Hua Wang
Abstract
Smart Education in Smart Cities: Layered Implications for Networked and Ubiquitous Learning by Jason C. K. Tham and Gustav Verhulsdonckv
Abstract
Abstracted Power and Responsibility in Computer Science Ethics Education by Tina L. Peterson, Rodrigo Ferreira and Moshe Y. Vardi
Abstract
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