The First Global Ontological Standard for Ethically Driven Robotics and Automation Systems [Standards]

Prestes, Edson; Houghtaling, Michael A.; Goncalves, Paulo J.S.; Fabiano, Nicola; Ulgen, Ozlem; Fiorini, Sandro Rama; Murahwi, Zvikomborero; Olszewska, Joanna Isabelle; Haidegger, Tamas

Abstract

In the complex and rapidly evolving fields of artificial intelligence (AI) and robotics, the elaboration of ethical concerns, considerations, and requirements helps elucidate the nature of technology’s reach and impact on society where there is a legal void. Thus, establishing ethics in AI and robotics is fundamental to identifying their potential risks and benefits, especially in our pandemicwrecked world [1]. The development of AI and robotics within an ethical framework enables the anticipation of future application contexts and articulation of uses that do not yet exist. Ethical considerations help to create a much-desired relationship between technology and human values and address the impacts a technology can have, thereby addressing issues of trust, safety, security, data privacy, and algorithmic bias. The need for an ethical framework is urgent because of the increasing adoption and use of autonomous and intelligent systems (A/ISs) in many domains, such as health care, education, finance, and insurance services.

Citation

Prestes, E., Houghtaling, M. A., Goncalves, P. J., Fabiano, N., Ulgen, O., Fiorini, S. R., …Haidegger, T. (2021). The First Global Ontological Standard for Ethically Driven Robotics and Automation Systems [Standards]. IEEE Robotics and Automation Magazine, 28(4), 120-124. https://doi.org/10.1109/MRA.2021.3117414

• Journal Article Type: Article
• Acceptance Date: Dec 15, 2021
• Publication Date: 2021-12
• Deposit Date: Jul 31, 2023
• Journal: IEEE Robotics and Automation Magazine
• Print ISSN: 1070-9932
• Electronic ISSN: 1558-223X
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Volume: 28
• Issue: 4
• Pages: 120-124
• DOI: https://doi.org/10.1109/MRA.2021.3117414
• Keywords: Electrical and Electronic Engineering; Computer Science Applications; Control and Systems Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/23560566
• Publisher URL: https://ieeexplore.ieee.org/document/9646310