Proposed Model of Work Ethics in Artificial Intelligence and Emerging Digital Technologies

Files
Access Instruction 724.pdf(44.09 KB)
Date
2022
Authors
Aldulaimi, Saeed Hameed
Abdeldayem, Marwan M.
Abo Keir, Mohammed Yousif
Abdelhakim, Mohamed
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
The digital revolution witnessed by human civilization and technological development increases the degree of complexity and takes global dimensions, with many challenges and ethical problems. This research deals with digital ethics from a philosophical side, which must be taken into consideration in light of the reign of the digital age in order to solve and avoid emerging ethical problems. The research draws attention to the need to think beyond the facts and theories related to the current standards for the formation of moral awareness. That calls for and emphasizes the need to spread the culture of information and ethics. The findings of this paper led to propose a practical model to imagine the formation of the ethical model in the digital era consisting of several factors. © 2022 IEEE.
Description
This work is not available in the CUD collection. The version of the scholarly record of this work is published in 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2022 (2022), available online at: https://doi.org/10.1109/ICETSIS55481.2022.9888900
Keywords
Artificial Intelligence , Emerging Digital Technologies , Literature review , Work Ethics
Citation
Aldulaimi, S. H., Abdeldayem, M. M., Abo Keir, M. Y., & Abdelhakim, M. (2022). Proposed model of work ethics in artificial intelligence and emerging digital technologies. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2022, 337-345. doi:10.1109/ICETSIS55481.2022.9888900
URI
https://doi.org/10.1109/ICETSIS55481.2022.9888900
 https://hdl.handle.net/20.500.12519/724
DOI
Collections
MITGov