AISys2021: 1st DEXA Workshop on AI System Engineering: Math, Modelling and Software Online Linz, Austria, September 27-30, 2021 |
Conference website | http://www.dexa.org/aisys2021 |
Submission link | https://easychair.org/conferences/?conf=aisys2021 |
Abstract registration deadline | April 1, 2021 |
Submission deadline | April 1, 2021 |
C A L L F O R P A P E R S
1st International Workshop on AI System Engineering: Math, Modelling and Software - AISys2021
September 27 - 30, 2021
Online, Hosted in Linz, Austria
http://www.dexa.org/conf=aisys2021
email: gerald.czech@scch.at
Papers submission: https://easychair.org/conferences/?conf=aisys2021
with Keynotes by
(1) Sergei Pereverzyev (RICAM, Austrian Academy of Sciences): On Mathematical Deisgn Principles in AI Modelling via Aggregation
(2) Michael Granitzer (University of Passau): Algorithm Design vs. Technology Stack in Machine Learning
IMPORTANT DATES
Submission of full papers: April 1, 2021
Notification of acceptance: June 10, 2021
Camera-ready copies due: June 30, 2021
Proceedings to Springer July 20
Workshop: September 27 - 30, 2021
PUBLICATION
The workshop papers will be published by Springer in "Communications in Computer and Information Science."Best papers of the workshop, after further revisions and independent reviews, will be considered for publication in a special issue of a renowned journal.
SCOPE
This first DEXA workshop on AI system engineering aims at a holistic view addressing the increasing need of interconnecting traditionally separated disciplines such as data analysis, model building and selection, software engineering, deployment, legal aspects, and standards. By this holistic view we encounter a variety of challenges along the AI modeling cycle and software system engineering lifecycle as outlined in the figure below such as
- theory-practice gap in machine learning with impact on stability, reproducibility or integrity due to limitations of nowadays theoretical foundations in statistical learning theory or lack of control of high-dimensionality effects of deep learning;
- facing computational constraints, e.g. embedded systems, neuromorphic systems, power consumption/Green AI;
- taking into account compliance checking aspects, e.g. ethics by design, confidentiality protection, federated learning;
- data, model and software quality assurance and standards;
- legal aspects such as accountability and IPR issues.
With this workshop we would like to stimulate the interdisciplinary discourse between the involved science and engineering disciplines, above all
- theoreticians (machine learning, mathematicians) with focus on performance guarantees, model selection, robustness, model analysis, etc.,
- application experts posing application requirements on AI system engineering in terms of basic implementation hurdles facing existing or anticipated standards as well as usability, acceptance
- engineering ML systems (DevOps, Software Engineering) with focus on system maintenance, testing and standards, and
- law experts for accountability and IPR protection issues;
SUBMISSION GUIDELINES
In order to encourage participation and discussion, this workshop solicits two types of submissions - regular papers and short papers:
- Regular paper submissions about original work not exceeding 10 pages.
- Short paper submissions on recent or ongoing work on relevant topics and ideas not exceeding 5 pages.
Formatting guidelines: http://www.dexa.org/formatting_guidelines
Online Papers Submission: https://easychair.org/conferences/?conf=aisys2021
REVIEW PROCESS
Submissions to the workshop must not have been published or be concurrently considered for publication elsewhere. All submissions will be peer-reviewed by, at least, 3 reviewers and judged on the basis of originality, contribution to the field, technical and presentation quality, and relevance to the workshop. Short papers are meant for timely discussion and feedback at the workshop.
Program Commitee Chairs
Paolo Meloni, University of Cagliari, Italy
Maqbool Khan, PAF-IAST, Pakistan
Gerald Czech, SCCH, Austria
Thomas Hoch, SCCH, Austria
Bernhard Moser, SCCH, Austria
Program Commitee
Helena Holmström Olsson, Malmö University, Sweden
Jan Bosch, Chalmers University of Technology, Gothenburg, Sweden
Gabriele Gianini, Universitaet Mailand
Pierre-Edouard Portier, INSA Lyon
Shui Yu, University of Technology Sydney, Australia
Dou Wanchun, Nanjing University, China
Mihhail Matskin, KTH Royal Institute of Technology, Sweden
Homepage: http://www.dexa.org/aisys2021
For further inquiries, please contact the PC Chair/co-Chairs (gerald.czech@scch.at)