CIOROAICA, Emilia, Barbora BÜHNOVÁ, Daniel SCHNEIDER, Emrah TOMUR, Ioannis SOROKOS and Thomas KUHN. Towards the Concept of Trust Assurance Case. Online. In 2023 IEEE/ACM 5TH INTERNATIONAL WORKSHOP ON ROBOTICS SOFTWARE ENGINEERING, ROSE. Melbourne, Australia: IEEE, 2023, p. 1-4. ISBN 979-8-3503-0184-7. Available from: https://dx.doi.org/10.1109/RoSE59155.2023.00005.
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Basic information
Original name Towards the Concept of Trust Assurance Case
Authors CIOROAICA, Emilia, Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution), Daniel SCHNEIDER, Emrah TOMUR, Ioannis SOROKOS and Thomas KUHN.
Edition Melbourne, Australia, 2023 IEEE/ACM 5TH INTERNATIONAL WORKSHOP ON ROBOTICS SOFTWARE ENGINEERING, ROSE, p. 1-4, 4 pp. 2023.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/23:00133948
Organization unit Faculty of Informatics
ISBN 979-8-3503-0184-7
Doi http://dx.doi.org/10.1109/RoSE59155.2023.00005
UT WoS 001041782900001
Keywords in English Trust; Safety; Ethics; Dependability; Technical Trust; Human Trust
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 8/4/2024 12:22.
Abstract
Trust is a fundamental aspect in enabling a smooth adoption of robotic technical innovations in our societies. While Artificial Intelligence (AI) is capable to uplift digital contributions to our societies while protecting environmental resources, its ethical and technical trust dimensions bring significant challenges for a sustainable evolution of robotic systems. Inspired by the safety assurance case, in this paper we introduce the concept of trust assurance case together with the implementation of its ethical and technical principles directed towards assuring a trustworthy sustainable evolution of AI-enabled robotic systems.
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