Towards risk modeling for collaborative AI

Conference proceeding

Peer reviewed

Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik Matt, Anna Perini, Barbara Russo and Angelo Susi

Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN 2021, Vol.12685, pp.51-54

12685

1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN 2021 (Virtual, 31/05/2021–31/05/2021)

2021

Handle:

https://hdl.handle.net/10863/28080

Abstract

SwSE- Software and Systems Engineering

Risk management

Software quality assurance

url

https://doi.org/10.1109/WAIN52551.2021.00014View

Title: Towards risk modeling for collaborative AI
Creators: Matteo Camilli - Free University of Bozen-Bolzano
Michael Felderer - Universität Innsbruck
Andrea Giusti - Fraunhofer Italia Research
Dominik Matt - Fraunhofer Italia Research
Anna Perini - Fondazione Bruno Kessler
Barbara Russo - Free University of Bozen-Bolzano
Angelo Susi - Fondazione Bruno Kessler
Publication Details: Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN 2021, Vol.12685, pp.51-54
ISBN: 9783030731274
EISBN: 9783030731281
Conference: 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN 2021 (Virtual, 31/05/2021–31/05/2021)
Series / Volume: 12685
Publisher: IEEE
Cham
Number of pages: 4
Identifiers: 978-3-030-73127-4
(UNIBZ)42391505
991006490797501241
Scopus ID: 2-s2.0-85113243583
Academic Unit: Faculty of Computer Science
Faculty of Science and Technology
Language: English
Resource Type: Conference proceeding
Author Names String: Camilli M, Felderer M, Giusti A, Matt DT, Perini A, Russo B, Susi A
Additional Description: unibz-area: SwSE- Software and Systems Engineering
ERC: Software engineering, operating systems, computer languages
ERCCODE: PE6_3
MIURSSD: Informatica;Sistemi di elaborazione delle informazioni
MIURSSDCODE: INF/01;ING-INF/05

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