An Interdisciplinary Conference on AI Methods, AI Applications, and Ethical/Legal Implications
June 13-14, 2023, Gutenberg Digital Hub, Mainz, Germany
Organized by TOPML, AI Alliance RLP and KI@JGU
News: the list of accepted papers and the conference program is available at the Program page.
The purpose of the Mainz and Friends Artificial Intelligence Conference (MAInC) is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, students, academics, and practitioners from industry across the entirety of AI and application areas in Mainz and the region, including Koblenz and Bingen. The conference is not limited to technical submissions, but explicitly encourages contributions on the ethical, legal, and other implications of AI.
Submission Guidelines
MAInC-23 welcomes submissions reporting research that advances artificial intelligence, broadly conceived. The scope of the conference includes machine learning (deep learning, statistical learning, etc), natural language processing, computer vision, data mining, multiagent systems, knowledge representation, human-in-the-loop AI, search, planning, reasoning, robotics and perception, and ethics. Submitting is to be done via easychair: https://easychair.org/conferences/?conf=mainc2023
The event will have three separate tracks:
the theory and methods track: authors willing to submit to this track should use the keyword methods in their easychair submission.
the industrial and academic applications track: authors willing to submit to this track should use the keyword applications in their easychair submission.
the implications and societal issues track. authors willing to submit to this track should use the keyword society in their easychair submission.
All three tracks will be given ample time for presentations.
Topics of special interest are:
Trustworthy AI: fairness, privacy, transparency, etc., and potential trade-offs
Neuro-symbolic AI or hybrid AI
Automated Scientific Discovery
Applications, e.g., in physics, biology, chemistry, health and medicine; but also in industrial settings: energy, logistics, social and journalistic media, ...
Ethical, legal and societal implications of AI
We request extended abstracts of maximally 4 pages in Springer LNCS style OR abstracts of work already sumbitted/tpublished elsewhere of 1 page in the same style. Author names and affiliations should be included (i.e., there will not be blind reviewing).
The submissions (for all three tracks) will be reviewed by at least two PC members and assessed by its scientific quality. When submitting, authors must specify in which track they wish to be by including the relevant keyword (methods, applications or society).
Currently, we do not plan for this first edition of MAInC to include formal conference proceedings. However, a digital collection of accepted papers and extended abstracts will be available for download before the conference (password-protected). Further possible publication plans (e.g. in future editions of MAInC, or in a special issue of an already-established academic journal) will be discussed during the meeting.
Important Dates and procedures
Submit via https://easychair.org/conferences/?conf=mainc2023
Submission deadline: April 24, 2023 May 1st, 2023, 23:59 GMT+1
Acceptance notification: May 22nd, 2023 May 26th, 2023
Conference: Tuesday, June 13th and Wednesday, June 14th, 2023
Conference Format
MAInC 2023 is held as a conference of two full days, June 13-14, at the Gutenberg Digital Hub in Mainz. We are aiming for an event with a lot of interaction and cutting-edge topics. The conference will consist of oral presentations, posters and keynotes. The presentation slots for oral presentations will be 15 minutes long (including Q&A).
Registration
Registration is free of charge. Online registration has closed. On-site registration is still possible at the registration desk at the conference venue at Gutenberg Digital Hub. (Please check here regularly for information whether registration is still possible on-site. The venue has limited capacity.)
Keynote Speakers
Abstracts for all keynotes are available at the Keynote page.
Nuria Oliver, PhD, director of the ELLIS Alicante Foundation, Chief Scientific Adviser at the Vodafone Institute, Chief Data Scientist at DataPop Alliance
Data Science against COVID-19: The Valencian Experience
Prof. Roberto Esposito, University of Torino
Fairness and Neural Networks
Dr. Wanja Wiese, Ruhr-Universität Bochum
What is at stake in debates on artificial consciousness?
Dinesh Kumari Chenchanna, ZDF
Künstliche Intelligenz: Journalistisches Werkzeug, Kollege oder Konkurrenz? - Ein Zwischenruf
Committees
Program Chairs
Stefan Kramer, Johannes Gutenberg University Mainz
Anita Sellent, University of Applied Sciences Mainz
Michael Wand, Johannes Gutenberg Universität Mainz
Program Committee
Mattia Cerrato, Johannes Gutenberg University Mainz
Stefan Kramer, Johannes Gutenberg University Mainz
Thomas Klauer, University of Applied Sciences Mainz
Marius Köppel, Johannes Gutenberg University Mainz
Lukas Pensel, Johannes Gutenberg University Mainz
Tilo Waldenmaier, Blue Yonder GmbH
Niklas Witzig, Johannes Gutenberg University Mainz
Cédric Roussel, University of Applied Sciences Mainz
Alexander Rolwes, University of Applied Sciences Mainz
Svenja Ruthmann, GDV
Anita Sellent, University of Applied Sciences Mainz
Petra Ahrweiler, Johannes Gutenberg University Mainz
Bastian Plaß, University of Applied Sciences Mainz
Miguel Andrade, Johannes Gutenberg University Mainz
Christoph Bläsohannes, Gutenberg University Mainz
Armin Fiedler, Hochschule Koblenz
Daniel Schunk, Johannes Gutenberg University Mainz
Tobias Walte, University of Applied Sciences Mainz
Jan Jürjens, Fraunhofer Institute for Software & Systems Engineering ISST and University of Koblenz-Landau
Dirk Schweim, University of Applied Sciences Mainz
Babette Dellen, Hochschule Koblenz
Florian Dahms, TH Bingen
Michael Wand, Johannes Gutenberg University Mainz
Bertil Schmidt, Johannes Gutenberg University Mainz
Ivan Habernal, Technical University of Darmstadt
Tatjana Tchumatchenko, Johannes Gutenberg University Mainz
Maria A. Wimmer, University of Koblenz
Katharina Kann, Johannes Gutenberg University Mainz
Organizing committee
for TOPML:
Stefan Kramer, Johannes Gutenberg University Mainz
Sylvia Steinmetz, Johannes Gutenberg University Mainz
Mattia Cerrato, Johannes Gutenberg University Mainz
Email: topml-management@uni-mainz.de
Doris Lindner, Johannes Gutenberg University Mainz
Email: StudienprogrammQPlus@uni-mainz.de
for KI@JGU:
Christoph Bläsi, Johannes Gutenberg University Mainz
Email: christoph.blaesi@uni-mainz.de
for KI-Allianz Rheinland-Pfalz:
Janis Ebert, KI-Projektbüro / KI-Allianz Rheinland-Pfalz
Email: jaebert@uni-mainz.de
Venue
The conference will be held on June 13-14, 2023 at the Gutenberg Digital Hub, Mainz, Germany.
Contact
All questions about submissions should be emailed to topml-management@uni-mainz.de.