KUŠNIRÁKOVÁ, Daša and Barbora BÜHNOVÁ. Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems. Online. In Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering. Setubal, Portugal: Scitepress, 2023, p. 158-169. ISBN 978-989-758-647-7. Available from: https://dx.doi.org/10.5220/0011971500003464.
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Basic information
Original name Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems
Authors KUŠNIRÁKOVÁ, Daša (703 Slovakia, guarantor, belonging to the institution) and Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution).
Edition Setubal, Portugal, Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, p. 158-169, 12 pp. 2023.
Publisher Scitepress
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Portugal
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14330/23:00130402
Organization unit Faculty of Informatics
ISBN 978-989-758-647-7
ISSN 2184-4895
Doi http://dx.doi.org/10.5220/0011971500003464
UT WoS 001119034200013
Keywords in English Autonomous Systems; Trust; Certification; Regulation; Ethics
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 7/4/2024 22:50.
Abstract
With the increasing complexity of software permeating critical domains such as autonomous driving, new challenges are emerging in the ways the engineering of these systems needs to be rethought. Autonomous driving is expected to continue gradually overtaking all critical driving functions, which is adding to the complexity of the certification of autonomous driving systems. As a response, certification authorities have already started introducing strategies for the certification of autonomous vehicles and their software. But even with these new approaches, the certification procedures are not fully catching up with the dynamism and unpredictability of future autonomous systems, and thus may not necessarily guarantee compliance with all requirements imposed on these systems. In this paper, we identified a number of issues with the proposed certification strategies, which may impact the systems substantially. For instance, we emphasize the lack of adequate reflection on software change s occurring in constantly changing systems, or low support for systems’ cooperation needed for the management of coordinated moves. Other shortcomings concern the narrow focus of the awarded certification by neglecting aspects such as the ethical behaviour of autonomous software systems. The contribution of this paper is threefold. First, we discuss the motivation for the need to modify the current certification processes for autonomous driving systems. Second, we analyze current international standards used in the certification processes towards requirements derived from the requirements laid on dynamic software ecosystems and autonomous systems themselves. Third, we outline a concept for incorporating the missing parts into the certification procedure.
Links
CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(CEP code: EF16_019/0000822)
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)
Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research
EF16_019/0000822, research and development projectName: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur
MUNI/A/1389/2022, interní kód MUName: Aplikovaný výzkum na FI: Bezpečnost počítačových systémů, softwarových architektur kritických infrastruktur s forenzními aspekty, zpracování dat pokročilých sensorů a algoritmy plánování v dopravě a logistice
Investor: Masaryk University
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