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: 

All three tracks will be given ample time for presentations.


Topics of special interest are:

 

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

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


Program Committee

Organizing committee

for TOPML:

Email: topml-management@uni-mainz.de

Email: StudienprogrammQPlus@uni-mainz.de

for KI@JGU:

Email: christoph.blaesi@uni-mainz.de

for 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.