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Intersectional Analysis of the Challenges and Opportunities of Equitable Remote Operation in the UK Maritime Sector.

Cai, A., Bentley, C. M., Zamani, E., Naiseh, M. and Sbaffi, L., 2023. Intersectional Analysis of the Challenges and Opportunities of Equitable Remote Operation in the UK Maritime Sector. In: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (TAS '23). New York, NY, USA: ACM, 3.

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DOI: 10.1145/3597512.3600202

Abstract

The maritime sector is increasingly implementing Maritime Autonomous Systems (MAS), such as remote operation of boats. This paper examines the potential for remote operations to address equity issues in the maritime sector, particularly for historically excluded and underrepresented groups. The study adopts an intersectional Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis to explore the social inclusion benefits and challenges of remote operations. Increased safety and flexibility are identified as key strengths, offering opportunities for inclusion of individuals who may have faced barriers in traditional seafaring roles. However, skepticism and a lack of influence among decision-makers are identified as weaknesses, hindering the recognition of intersectional realities and the allocation of resources for accommodating diverse perspectives in design and deployment of MAS. This research contributes a holistic understanding of promoting social inclusion amidst technological transformation within the maritime sector. By centering the voices of underrepresented groups, it aims to inform the development of strategies and policies that address equity issues and enhance diversity in the sector. The findings emphasize the importance of considering intersectionality and adopting responsible research and innovation principles in the design and implementation of autonomous systems.

Item Type:Book Section
ISBN:9798400707346
Number of Pages:8
Additional Information:July 11, 12, 2023, Edinburgh, United Kingdom
Group:Faculty of Science & Technology
ID Code:38941
Deposited By: Symplectic RT2
Deposited On:31 Aug 2023 11:41
Last Modified:31 Aug 2023 11:41

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