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The Limits of Meaningful Human Control of AI in the Maritime Domain

Albrecht, Lukas und Braun, Hagen und Kosack, Tim Robin und Krüger, Thomas (2025) The Limits of Meaningful Human Control of AI in the Maritime Domain. Transactions on Maritime Science. Faculty of Maritime Studies. doi: 10.7225/toms.v14.n03.w02. ISSN 1848-3305.

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Offizielle URL: https://www.toms.com.hr/index.php/toms/article/view/948

Kurzfassung

This paper analyses the viability of Meaningful Human Control as a mechanism to ensure ethical and safe use of autonomous systems, focusing on the maritime context. With future maritime systems increasingly containing Artificial Intelligence components as a main driver for autonomous operation, vehicles like Maritime Autonomous Surface Ships promise substantial benefits in terms of efficiency and safety. Particularly in maritime settings, where hazardous environments and dangerous working conditions put humans at risk, the deployment of autonomous systems is appealing both from an efficiency and a safety point of view – removing humans both as source of and subject to risk. This is especially true for sophisticated AI-driven autonomous systems that can be deployed in unknown environments and are able to deal with unpredicted problems, as they can operate independently from human input in a wide variety of applications. However, truly autonomous AI also introduces characteristic risks like the occurrence of Responsibility Gaps, where the ascription of responsibility for the behavior of autonomous systems is obscured, as humans are prima facie not sufficiently in control of such systems. Simply put, sophisticated AI agents are considered too autonomous for holding human agents morally responsible. If due to special ethical concerns or safety engineering reasons the human operator needs to be involved in AI decision making, human oversight and human control in a meaningful way are indispensable. To address this need for human oversight and control, the concept of Meaningful Human Control (MHC) has been introduced, primarily to guarantee the ascription of responsibility in case of harmful events. Yet, reintroducing the human element to an autonomous AI-driven system not only limits its potential, but faces conceptual and material barriers. This paper starts by looking at autonomous systems in relation to risk, before exploring the call for Meaningful Human Control and the barriers to its implementation. It concludes that there are technical and conceptual barriers that make Meaningful Human Control non-viable in some maritime applications.

elib-URL des Eintrags:https://elib.dlr.de/220567/
Dokumentart:Zeitschriftenbeitrag
Titel:The Limits of Meaningful Human Control of AI in the Maritime Domain
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Albrecht, Lukaslukas.albrecht (at) dlr.dehttps://orcid.org/0009-0009-4884-6551NICHT SPEZIFIZIERT
Braun, Hagenhagen.braun (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Kosack, Tim Robintim.kosack (at) dlr.dehttps://orcid.org/0009-0006-5101-7541203990609
Krüger, Thomasthomas.krueger (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:25 Juli 2025
Erschienen in:Transactions on Maritime Science
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
DOI:10.7225/toms.v14.n03.w02
Verlag:Faculty of Maritime Studies
ISSN:1848-3305
Status:veröffentlicht
Stichwörter:Artificial intelligence, Autonomous systems, Maritime vessels, Meaningful Human Control
HGF - Forschungsbereich:keine Zuordnung
HGF - Programm:keine Zuordnung
HGF - Programmthema:keine Zuordnung
DLR - Schwerpunkt:keine Zuordnung
DLR - Forschungsgebiet:keine Zuordnung
DLR - Teilgebiet (Projekt, Vorhaben):keine Zuordnung
Standort: Bremerhaven , andere
Institute & Einrichtungen:Institut für den Schutz maritimer Infrastrukturen
Institut für KI-Sicherheit
Hinterlegt von: Albrecht, Lukas
Hinterlegt am:29 Jan 2026 10:10
Letzte Änderung:29 Jan 2026 10:10

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