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An Ethical Perspective on Intelligent Transport Systems

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Progress in Artificial Intelligence (EPIA 2023)

Abstract

Intelligent Transport Systems (ITS) is a fast evolving domain with an increasingly important role in shaping the future of transport and a significant impact on a wide range of issues, many of which have ethical implications. On the other hand, Ethics is essential to ensure that ITS are safe, fair, accountable, trustworthy, and respectful of privacy. This study reflects on the ethical concerns around transport system and its impact on economic, social and environmental dimensions, from the spirit of the foundational concepts of Ethics to the specific issues raised by intelligent transport, including those enhanced by Artificial Intelligence (AI) and Machine Learning (ML) systems. The primordial ethical concerns of transport have, in some extent, been mitigated with the introduction of the ITS paradigm, but others have arisen as a result of emerging technologies. Ethics is therefore critical in intelligent transport because of its potential to significantly impact individuals, communities, and society as a whole, and is an important tool to design more sustainable, equitable, and fair transport systems.

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Acknowledgments.

This work results from project DynamiCITY: Fostering Dynamic Adaptation of Smart Cities to Cope with Crises and Disruptions [reference NORTE-01-0145-FEDER-000073] supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). It was financially supported by Base Funding UIDB/00027/2020 of the Artificial Intelligence and Computer Science Laboratory (LIACC), through national funds FCT/MCTES (PIDDAC).

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Correspondence to António Ribeiro da Costa .

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da Costa, A.R., Kokkinogenis, Z., Rossetti, R.J.F. (2023). An Ethical Perspective on Intelligent Transport Systems. In: Moniz, N., Vale, Z., Cascalho, J., Silva, C., Sebastião, R. (eds) Progress in Artificial Intelligence. EPIA 2023. Lecture Notes in Computer Science(), vol 14116. Springer, Cham. https://doi.org/10.1007/978-3-031-49011-8_34

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  • DOI: https://doi.org/10.1007/978-3-031-49011-8_34

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