KUŠNIRÁKOVÁ, Daša a Barbora BÜHNOVÁ. Future Vision of Dynamic Certification Schemes for Autonomous Systems. Online. In Evaluation of Novel Approaches to Software Engineering. ENASE 2023. Communications in Computer and Information Science. 2028. vyd. Cham: Springer, 2024, s. 211-229. ISBN 978-3-031-64182-4. Dostupné z: https://dx.doi.org/10.1007/978-3-031-64182-4_10.
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Základní údaje
Originální název Future Vision of Dynamic Certification Schemes for Autonomous Systems
Autoři KUŠNIRÁKOVÁ, Daša (703 Slovensko, garant, domácí) a Barbora BÜHNOVÁ (203 Česká republika, domácí).
Vydání 2028. vyd. Cham, Evaluation of Novel Approaches to Software Engineering. ENASE 2023. Communications in Computer and Information Science, od s. 211-229, 19 s. 2024.
Nakladatel Springer
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 10200 1.2 Computer and information sciences
Utajení není předmětem státního či obchodního tajemství
Forma vydání elektronická verze "online"
WWW URL
Organizační jednotka Fakulta informatiky
ISBN 978-3-031-64182-4
Doi http://dx.doi.org/10.1007/978-3-031-64182-4_10
Klíčová slova anglicky Autonomous systems; Certification; Trust; Safety; Ethics
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: RNDr. Daša Kušniráková, učo 445596. Změněno: 13. 7. 2024 14:11.
Anotace
As software becomes increasingly pervasive in critical domains like autonomous driving, new challenges arise, necessitating rethinking of system engineering approaches. The gradual takeover of all critical driving functions by autonomous driving adds to the complexity of certifying these systems. Namely, certification procedures do not fully keep pace with the dynamism and unpredictability of future autonomous systems, and they may not fully guarantee compliance with the requirements imposed on these systems. In this paper, we have identified several issues with the current certification strategies that could pose serious safety risks. As an example, we highlight the inadequate reflection of software changes in constantly evolving systems and the lack of support for systems' cooperation necessary for managing coordinated movements. Other shortcomings include the narrow focus of awarded certification, neglecting aspects such as the ethical behavior of autonomous software systems. The contribution of this paper is threefold. First, we analyze the existing international standards used in certification processes in relation to the requirements derived from dynamic software ecosystems and autonomous systems themselves, and identify their shortcomings. Second, we outline six suggestions for rethinking certification to foster comprehensive solutions to the identified problems. Third, a conceptual Multi-Layer Trust Governance Framework is introduced to establish a robust governance structure for autonomous ecosystems and associated processes, including envisioned future certification schemes. The framework comprises three layers, which together support safe and ethical operation of autonomous systems.
Návaznosti
MUNI/G/1142/2022, interní kód MUNázev: Forensic Support for Building Trust in Smart Software Ecosystems
Investor: Masarykova univerzita, Forensic Support for Building Trust in Smart Software Ecosystems, INTERDISCIPLINARY - Mezioborové výzkumné projekty
VytisknoutZobrazeno: 19. 7. 2024 12:20