-------- Forwarded Message -------- Subject: [AISWorld] CfP: WI2022 - Track „Gestaltung, Management und Auswirkungen von KI-basierten Systemen“ Date: Thu, 24 Jun 2021 16:00:15 +0000 From: Berger, Benedikt benedikt.berger@bwl.lmu.de To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org
(Apologies if multiple copies of this call are received)
Call for Papers: Track “Design, Management, and Impact of AI-based Systems”
17th International Conference on Wirtschaftsinformatik (WI2022), February 21st-23rd, 2022 at the Friedrich-Alexander-Universitaet Erlangen-Nuernberg www.wi22.euhttp://www.wi22.eu
Track Chairs Alexander Benlian, TU Darmstadt Benedikt Berger, LMU Munich Stefan Morana, Saarland University Martin Wiener, TU Dresden
Description The rapid developments in the field of artificial intelligence (AI), the availability of more and more computing power, and the exponentially growing data volumes enable the use of AI-based systems in many new application scenarios. AI-based systems are ubiquitous and people interact with them in both private and business contexts. We ask Alexa in the morning what the weather will be like today, Google Maps navigates us to work, predictive maintenance systems at work tell us that machines need to be serviced, and in the evening, Netflix suggests a movie that matches our preferences. In all these application scenarios, we interact with an AI-based system. Beyond these examples, AI-based systems offer a wide range of opportunities for the entire economy and especially for those companies that manage to exploit the economic potential of AI. In contrast to the multitude of opportunities that AI-based systems offer to individuals, companies, or society at large, several risks and potential downsides must be considered. While AI-based systems are becoming increasingly complex and will soon be superior to humans in some areas (e.g., medical diagnostics), researchers and the public are also increasingly concerned with potential drawbacks from ethical, legal, and social perspectives. Many of the current AI-based systems and their underlying algorithms are not transparent enough to detect or prevent possible misuse or systematic errors. The opacity of AI-based systems can lead to users being knowingly or unknowingly discriminated or manipulated. AI-based systems must therefore be designed and implemented with special care to prevent undesired effects or misuse.
Potential Topics This track would like to invite the WI community to submit contributions on the individual, organizational, and societal level to the design, management, and impact of AI-based systems. It is open to all methods and types of contributions that address the following or related topics:
· AI-based assistance systems (for end users and companies)
· Systems based on hybrid and extended AI
· Cooperation between humans and AI-based systems (Human-in-the-Loop)
· Development, design, and implementation of AI-based systems
· Trust and distrust in AI-based systems (Trustworthy AI)
· Explainability and transparency of AI-based systems
· Operational and strategic effects of AI-based systems in companies
· Disadvantages of AI-based systems: biases, distortions, discrimination, and rejection
· Practical applications of AI-based systems in organizations (e.g., AI and product innovation, AI and customer care, AI and marketing, AI and process optimization)
· Economic potential of AI-based systems (e.g., new business models through the use of AI-based systems)
· Ethical, legal, and social implications of AI-based systems
Associate Editors
· Martin Adam, TU Darmstadt
· Philipp Ebel, University of St. Gallen
· Andreas Fink, Helmut-Schmidt-Universität/UniBw Hamburg
· Burkhardt Funk, Leuphana University of Lueneburg
· Benjamin van Giffen, University of St. Gallen
· Thomas Hess, LMU Munich
· Peter Hofmann, University of Bayreuth
· Andreas Holzinger, Med Uni Graz
· Christian Janiesch, Julius-Maximilians-Universitaet of Wuerzburg
· Ekaterina Jussupow, University of Mannheim
· Wolfgang Koenig, Goethe University Frankfurt
· Niklas Kuehl, Karlsruhe Institute of Technology
· Matthias Kraus, Friedrich-Alexander Universität Erlangen-Nuernberg
· Sascha Lichtenberg, TU Dresden
· Cristina Mihale-Wilson, Goethe University Frankfurt
· Nicolas Proellochs, University of Giessen
· Jana Rehse, University of Mannheim
· Matthias Schumann, University of Goettingen
· Patrick Zschech, Friedrich-Alexander Universität Erlangen-Nuernberg
Important Dates
Paper submission deadline: September 1st, 2021 at 2 pm Central European Time
Paper decision notification: October 31st, 2021
Submission deadline for revised papers: November 15th, 2021
For further information please visit https://www.wi22.eu
Dr. Benedikt Berger
Ludwig-Maximilians-Universitaet Muenchen (LMU) Munich School of Management Institute for Information Systems and New Media
Room 213 | Ludwigstrasse 28 | 80539 Munich | Germany Phone +49 (0)89 2180-6392 | Fax +49 (0)89 2180-996392 benedikt.berger@bwl.lmu.demailto:benedikt.berger@bwl.lmu.de | www.wim.bwl.lmu.dehttp://www.wim.bwl.lmu.de/
_______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org