-------- Forwarded Message -------- Subject: [WI] CfP Pre-ECIS Workshop: The Interplay of Machines and Humans: State of the Art and a Research Agenda for Hybrid Intelligence Date: Thu, 22 Feb 2018 17:33:31 +0100 From: Jan Marco Leimeister Prof. Dr. JanMarco.Leimeister@unisg.ch Reply-To: Jan Marco Leimeister Prof. Dr. JanMarco.Leimeister@unisg.ch To: wi@lists.kit.edu, wkwi@seda.wiai.uni-bamberg.de
Liebe Kolleginnen und Kollegen,
gerne möchte ich auf diesen Call aufmerksam machen. Über Einreichungen aus unserer Community würden wir uns sehr freuen.
Herzliche Grüsse aus St. Gallen, Jan Marco Leimeister
*===START Call for Submissions: The Interplay of Machines and Humans: State of the Art and a Research Agenda for Hybrid Intelligence* * Background* Research in the field of information systems provides a long history of discussions of who is superior in predicting certain outcomes: statistical methods or the human brain (Meehl 1954). This debate keeps on flaring up due to the remarkable technological advances in the field of artificial intelligence (AI) such as solving tasks like object and speech recognition or achieving significant improvements in accuracy through deep-learning algorithms (Jordan and Mitchell 2015). Consequently, serious concerns arise whether general intelligent machines will take over jobs of humans and solves problems that previously required the human intellect (McAfee and Brynjolfsson 2017). However, achieving the development of human-level, general AI in the next decades is rather doubted (e.g. Stanford 2016). The most likely paradigm for the division of labor between humans and machines is thus Hybrid Intelligence. This concept aims at using the complementary strengths of human intelligence and AI to behave more intelligent than each of the two could be in separation (Kamar 2016).
While machines are particularly good in consistently solving repetitive tasks that require the fast procession of huge amount of date, humans have superior capabilities for emphatic or intuitive tasks. Therefore, artificial intelligence rather augments the human judgement through providing predictive assistance. In such setting, where AI provides the human with input that is then evaluated to make a judgement, human and machines act as teammates. Vice versa AI systems can benefit and learn from human input. This approach allows to integrate human domain knowledge in the AI to design, complement and evaluate the capabilities of machine intelligence in settings such as medicine or semi-autonomous driving, where humans monitor the performance of machines.
The paradigm of Hybrid Intelligence, thus, comprises two interrelated directions: hybrid teamwork, where AI enlarges the intelligence of humans and the augmentation of AI through the input of humans. Within this workshop we will describe both directions and provide insights into the current state of research and practical applications in various domains.
This workshop intends to facilitate the discourse amongst IS researchers interested in hybrid intelligence. We invite those who are interested to shape the future of the field to join us in Portsmouth. The workshop itself serves to present, discuss, and organize the ideas submitted. In addition to that, we encourage researchers that are involved in practice-oriented research projects to submit a project description and to showcase their projects within the workshop. * Possible topics of submissions include, but are not limited to:* · Generalizable models, methodologies and theories to design and facilitate Hybrid Intelligence · Approaches for a new division of labor in references to the task structure and capabilities of AI and humans · Decision models for deciding whether, when and how to access human input · Strategies to prevent mistakes and shortcomings of individual collaborators and the noise in the contributions of individual workers · Effectiveness of different training strategies in improving the performance of workers for accomplishing complex tasks · Design of incentive structures for a given task · Approaches for increasing user acceptance of systems with AI components
*Submission Guidelines:*
· The workshop participants will develop their ideas in a short paper of not more than *two (2)* pages (_ECIS paper template_ http://ecis2018.eu/wp-content/uploads/2017/10/ECIS2018-Template-RP.doc).
· The submissions should be e-mailed to Dominik Dellermann (_dellermann@uni-kassel.de_ mailto:dellermann@uni-kassel.de_) _and Philipp Ebel (_ph.ebel@uni-kassel.de_ mailto:ph.ebel@uni-kassel.de).
In addition to that, interested researchers might participate in the workshop without submitting a paper, but by discussing the manuscripts of the other workshop participants.
*Important Dates:*
Submission Deadline: *30.04.2018* Notification to Authors: *11.05.2018* Date of the workshop: *25.06.2018*
* Workshop Chairs*
* Philipp Ebel, University of Kassel, Germany (corresponding chair)
* Dominik Dellermann, University of Kassel, Germany
* Program Committee*
Sarah Oeste-Reiß, University of Kassel, Germany
Matthias Söllner, University of St. Gallen, Switzerland
Jan Marco Leimeister, University of St. Gallen, Switzerland
Further information can be found on the ECIS 2018 workshop website: _http://ecis2018.eu/call-for-workshops-or-tutorials/_
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