TY - GEN
T1 - Dependable Integration Concepts for Human-Centric AI-Based Systems
AU - Macher, Georg
AU - Akarmazyan, Siranush
AU - Armengaud, Eric
AU - Bacciu, Davide
AU - Calandra, Calogero
AU - Danzinger, Herbert
AU - Dazzi, Patrizio
AU - Davalas, Charalampos
AU - De Gennaro, Maria Carmela
AU - Dimitriou, Angela
AU - Dobaj, Juergen
AU - Dzambic, Maid
AU - Giraudi, Lorenzo
AU - Girbal, Sylvain
AU - Michail, Dimitrios
AU - Peroglio, Roberta
AU - Potenza, Rosaria
AU - Pourdanesh, Farank
AU - Seidl, Matthias
AU - Sardianos, Christos
AU - Tserpes, Konstantinos
AU - Valtl, Jakob
AU - Varlamis, Iraklis
AU - Veledar, Omar
N1 - Funding Information:
Supported by the H2020 project TEACHING (n. 871385) - www.teaching-h2020.eu.
Funding Information:
Acknowledgment. The presented work is partially supported by TEACHING, a project funded by the EU Horizon 2020 research and innovation programme under GA n. 871385.
Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - AI
KW - CPSoS
KW - Dependability
KW - Dependable systems
UR - http://www.scopus.com/inward/record.url?scp=85115181737&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-83906-2_1
DO - 10.1007/978-3-030-83906-2_1
M3 - Conference paper
AN - SCOPUS:85115181737
SN - 9783030839055
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 11
EP - 23
BT - Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops - DECSoS, MAPSOD, DepDevOps, USDAI, and WAISE, Proceedings
A2 - Habli, Ibrahim
A2 - Sujan, Mark
A2 - Gerasimou, Simos
A2 - Schoitsch, Erwin
A2 - Bitsch, Friedemann
PB - Springer Science and Business Media Deutschland GmbH
T2 - 40th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2021 held in conjunction with Workshops on DECSoS, MAPSOD, DepDevOps, USDAI and WAISE 2021
Y2 - 7 September 2021 through 10 September 2021
ER -