2023 Issues

Volume 4, Issue 1, 2023 – Special Issue on Designing Ethical AI Using A Human-Centered Approach: Explainability and Accuracy Toward Trustworthiness

Current Issue (4,1)

Front Cover

Publication Information

Table of Contents


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

Explaining Technology We Do Not Understand by Greg Adamson

It Is Not “Accuracy vs. Explainability”—We Need Both for Trustworthy AI Systems by Dragutin Petkovic

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

Challenges of Deep Learning in Medical Image Analysis—Improving Explainability and Trust by Tribikram Dhar, Nilanjan Dey, Surekha Borra and R. Simon Sherratt

Automatic and Efficient Framework for Identifying Multiple Neurological Disorders From EEG Signals by Md. Nurul Ahad Tawhid, Siuly Siuly, Kate Wang and Hua Wang

Smart Education in Smart Cities: Layered Implications for Networked and Ubiquitous Learning by Jason C. K. Tham and Gustav Verhulsdonckv

Abstracted Power and Responsibility in Computer Science Ethics Education by Tina L. Peterson, Rodrigo Ferreira and Moshe Y. Vardi