Show simple item record

dc.contributor.authorMartínez Fernández, Silverio Juan
dc.contributor.authorFranch Gutiérrez, Javier
dc.contributor.authorJedlitschka, Andreas
dc.contributor.authorOriol Hilari, Marc
dc.contributor.authorTrendowicz, Adam
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2021-05-12T10:17:11Z
dc.date.available2021-05-12T10:17:11Z
dc.date.issued2021
dc.identifier.citationMartínez-Fernández, S. [et al.]. Developing and operating artificial intelligence models in trustworthy autonomous systems. A: International Conference on Research Challenges in Information Science. "Research Challenges in Information Science, 15th International Conference, RCIS 2021: Limassol, Cyprus, May 11-14, 2021: proceedings". Berlín: Springer, 2021, p. 221-229. ISBN 978-3-030-75018-3. DOI 10.1007/978-3-030-75018-3_14.
dc.identifier.isbn978-3-030-75018-3
dc.identifier.otherhttps://arxiv.org/abs/2003.05434
dc.identifier.urihttp://hdl.handle.net/2117/345491
dc.description.abstractCompanies dealing with Artificial Intelligence (AI) models in Autonomous Systems (AS) face several problems, such as users’ lack of trust in adverse or unknown conditions, gaps between software engineering and AI model development, and operation in a continuously changing operational environment. This work-in-progress paper aims to close the gap between the development and operation of trustworthy AI-based AS by defining an approach that coordinates both activities. We synthesize the main challenges of AI-based AS in industrial settings. We reflect on the research efforts required to overcome these challenges and propose a novel, holistic DevOps approach to put it into practice. We elaborate on four research directions: (a) increased users’ trust by monitoring operational AI-based AS and identifying self-adaptation needs in critical situations; (b) integrated agile process for the development and evolution of AI models and AS; (c) continuous deployment of different context-specific instances of AI models in a distributed setting of AS; and (d) holistic DevOps-based lifecycle for AI-based AS.
dc.description.sponsorshipThis work has been partially supported by the Beatriz Galindo programme (BGP18/00075) and the Catalan Research Agency (AGAUR, contract 2017 SGR 1694).
dc.format.extent9 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshArtificial intelligence
dc.subject.lcshIntelligent control systems
dc.subject.otherDevOps
dc.subject.otherAutonomous systems
dc.subject.otherAI
dc.subject.otherTrustworthiness
dc.titleDeveloping and operating artificial intelligence models in trustworthy autonomous systems
dc.typeConference report
dc.subject.lemacIntel·ligència artificial
dc.subject.lemacControl intel·ligent
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.identifier.doi10.1007/978-3-030-75018-3_14
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-030-75018-3_14
dc.rights.accessOpen Access
local.identifier.drac31277502
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/2017 SGR 1694
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/BEAGAL18/00064
local.citation.authorMartínez-Fernández, S.; Franch, X.; Jedlitschka, A.; Oriol, M.; Trendowicz, A.
local.citation.contributorInternational Conference on Research Challenges in Information Science
local.citation.pubplaceBerlín
local.citation.publicationNameResearch Challenges in Information Science, 15th International Conference, RCIS 2021: Limassol, Cyprus, May 11-14, 2021: proceedings
local.citation.startingPage221
local.citation.endingPage229


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder