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2024 Journal Impact Factor - 0.6
2024 CiteScore - 1.9
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Autonomous Navigation Safety in the Light of the Limitations of Necessary AI-based Predictions
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: The development of science has led to the creation of powerful tools that approximate reality, which have been called "artificial intelligence". One application of AI may be the introduction and improvement of autonomous shipping. The safety of navigation depends on the accuracy of the predictions – approximations of the adopted mathematical model. This paper presents the basic threats related to the approximation used by AI and the lack of distinction between interpolation and extrapolation. Selected barriers in modelling physical objects related to the basic assumptions of our science, which commonly uses infinities and continuity of mathematical functions, were also considered. The extensiveness of necessary, further research that should be conducted was signalled, the aim of which should be to precisely identify the limitations of the extremely powerful and useful tool that is artificial intelligence. The safety of the processes (e.g. autonomous shipping) to which it will be applied depends on this.
KEYWORDS: Autonomous Navigation Safety, Artificial Intelligence Limitations, Mathematical–Empirical Method, Extrapolation vs Interpolation, Modelling Errors, Deterministic Chaos, Engineering Approximation, Maritime Autonomous Systems
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Citation note:
Murawski L.: Autonomous Navigation Safety in the Light of the Limitations of Necessary AI-based Predictions. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 19, No. 3, doi:10.12716/1001.19.03.11, pp. 787-793, 2025
Authors in other databases:

24481804100
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