Dependable Integration Concepts for Human-Centric AI-Based Systems

Georg Macher*, Siranush Akarmazyan, Eric Armengaud, Davide Bacciu, Calogero Calandra, Herbert Danzinger, Patrizio Dazzi, Charalampos Davalas, Maria Carmela De Gennaro, Angela Dimitriou, Juergen Dobaj, Maid Dzambic, Lorenzo Giraudi, Sylvain Girbal, Dimitrios Michail, Roberta Peroglio, Rosaria Potenza, Farank Pourdanesh, Matthias Seidl, Christos SardianosKonstantinos Tserpes, Jakob Valtl, Iraklis Varlamis, Omar Veledar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

The rising demand for adaptive, cloud-based and AI-based systems is calling for an upgrade of the associated dependability concepts. That demands instantiation of dependability-orientated processes and methods to cover the whole life cycle. However, a common solution is not in sight yet That is especially evident for continuously learning AI and/or dynamic runtime-based approaches. This work focuses on engineering methods and design patterns that support the development of dependable AI-based autonomous systems. The emphasis on the human-centric aspect leverages users’ physiological, emotional, and cognitive state for the adaptation and optimisation of autonomous applications. We present the related body of knowledge of the TEACHING project and several automotive domain regulation activities and industrial working groups. We also consider the dependable architectural concepts and their applicability to different scenarios to ensure the dependability of evolving AI-based Cyber-Physical Systems of Systems (CPSoS) in the automotive domain. The paper shines the light on potential paths for dependable integration of AI-based systems into the automotive domain through identified analysis methods and targets.

Original languageEnglish
Title of host publicationComputer Safety, Reliability, and Security. SAFECOMP 2021 Workshops - DECSoS, MAPSOD, DepDevOps, USDAI, and WAISE, Proceedings
EditorsIbrahim Habli, Mark Sujan, Simos Gerasimou, Erwin Schoitsch, Friedemann Bitsch
PublisherSpringer Science and Business Media Deutschland GmbH
Pages11-23
Number of pages13
ISBN (Print)9783030839055
DOIs
Publication statusPublished - 2021
Event40th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2021 held in conjunction with Workshops on DECSoS, MAPSOD, DepDevOps, USDAI and WAISE 2021 - Virtual, Online
Duration: 7 Sep 202110 Sep 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12853 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference40th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2021 held in conjunction with Workshops on DECSoS, MAPSOD, DepDevOps, USDAI and WAISE 2021
CityVirtual, Online
Period7/09/2110/09/21

Keywords

  • AI
  • CPSoS
  • Dependability
  • Dependable systems

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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