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

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.

Authors

Institutions

Publication Details

Journal
Transactions on Maritime Science
Published
2025-07-25
DOI
https://doi.org/10.7225/toms.v14.n03.w02
Citations
1
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Hanna Braun, Thomas Krüger, Lukas Albrecht, Tim Robin Kosack
1 citations
Transactions on Maritime Science
Maritime Navigation and Safety
1.15
article

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

Hanna Braun, Thomas Krüger, Lukas Albrecht, Tim Robin Kosack
article en
1 citations

Abstract

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.

Transactions on Maritime ScienceVol. 14(3)
Deutsches Schifffahrtsmuseum (DE), Institut für Arbeitsschutz der Deutschen Gesetzlichen Unfallversicherung (DE)
Openalex Percentile: Top 16%
Maritime Navigation and Safety
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.