| Subject: | [WI] Call for Papers: Special Issue on "Hybrid Intelligence in Business Networks" |
|---|---|
| Date: | Fri, 28 Sep 2018 13:03:04 +0200 |
| From: | Electronic Markets <editors@electronicmarkets.org> |
| Reply-To: | Electronic Markets <editors@electronicmarkets.org> |
| To: | wi@aifb.uni-karlsruhe.de |
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Apologies for cross-postings---
Electronic Markets – The International
Journal on Networked Business
Call for Papers
Special Issue on "Hybrid Intelligence in
Business Networks"
Guest Editors
* Philipp Ebel, University of St. Gallen,
Switzerland: philipp.ebel@unisg.ch
* Matthias Söllner, University of Kassel,
Germany: soellner@uni-kassel.de
* Jan Marco Leimeister, University of St.
Gallen, Switzerland: janmarco.leimeister@unisg.ch
* Kevin Crowston, Syracuse University, NY, USA:
crowston@syr.edu
* Gert-Jan de Vreede, University of South
Florida, USA: gdevreede@usf.edu
Theme
New technological innovations enable the
development of productive AI solutions that provide
compelling benefits in various fields of application. As of
now, artificial intelligence systems reached a level of
productivity where they do have the potential to reduce
business costs, enhance business analytics, and improve the
quality of managerial decisions. Leading technology firms
such as Google, Apple, Microsoft or IBM are making huge
investments in AI systems, to create additional value for
their customers. In sum, the investments of silicon valley’s
most prominent firms in AI technologies has quadrupled from
2010 to 2015, and now reaches approximately $8.5 billion (Economist 2016). As a consequence,
there is a broad consensus that artificial intelligence has
the potential to deliver huge economic benefits for
consumers and companies (Jordan und Mitchell 2015).
Despite these recent advances, the development
of human-level, general AI in the next decades is rather
doubted. Instead, the concept of hybrid intelligence gained
increasing popularity in recent years (Horvitz 2014). 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
data, humans have superior capabilities for emphatic or
intuitive tasks. Therefore, artificial intelligence rather
augments the human judgement through providing predictive
assistance. In such settings, 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 this regard, hybrid intelligence systems
constitute digital networks in which different research
questions, such as task specification, creation of
incentives, task allocation, quality assessment, task
aggregation, and compensation mechanisms have to be
addressed. By now, articles in the field have concentrated
on the technological issues that are related to the
development of hybrid intelligent systems and highlight the
novelty character of this concept (Cheng und Bernstein 2015; Kamar 2016). Additional
insights into the relationships between design decisions,
actors’ behavior, and business outcomes therefore
constitutes a promising avenue for further research that
deserves to be addressed by researchers and practitioners.
Therefore, the time is now to call for
theoretical and empirical underpinnings of hybrid
intelligence can be utilized.
Central issues and themes
Possible topics of submissions include, but are
not limited to:
* Generalizable
models, methodologies and theories to design and facilitate
the interaction between human intelligence and machine
intelligence in different kinds of digital production
networks
* Approaches for a
new division of labor between AI and humans in business
networks
* Decision models for
deciding whether, when and how to access human input
* Effectiveness of
different training strategies in improving the performance
of workers for accomplishing complex business tasks
* Design of incentive
structures that motivate actors to participate in a network
of humans and machines
* Approaches for
increasing user acceptance of systems with AI components
* Collaborative work
practices in which AI acts as a teammate or facilitates
human collaboration
* Approaches for a
new division of labor in references to the task structure
and capabilities of AI and humans
* Approaches for
increasing user acceptance of new business networks with AI
components
* Design,
implementation and evaluation of exemplar instances of
Human-AI-Collaboration
* Legal aspects of
Human-AI-Collaboration in business networks
We encourage contributions with a broad range
of methodological approaches, including conceptual,
qualitative and quantitative research. All papers should fit
the scope of Electronic Markets (for more information see http://www.electronicmarkets.org/about-em/scope/) and will undergo
a double-blind peer review process. If you would like to
discuss any aspect of the special issue, please contact the
guest editors.
Submission
Electronic Markets is a SSCI-listed journal (IF
3.818) and requires that all papers be original and not
published or under review elsewhere. Papers must be
submitted via our the journal’s electronic submission system
at http://elma.edmgr.com and conform to
Electronic Markets’ publication standards (see instructions
and templates at http://www.electronicmarkets.org/authors). Please note that
the preferred article length is around 8,000 words,
excluding references.
Important deadline
* Submission Deadline: May 1, 2019
References
Cheng,
J. & Bernstein, M.S. (2015). Flock: Hybrid
Crowd-Machine Learning Classifiers. Proceedings of the 18th
ACM Conference on Computer Supported Cooperative Work &
Social Computing, ACM.
Economist (2016). Artificial Intelligence -
Million-Dollar Babies. April, 2nd,
https://www.economist.com/business/2016/04/02/million-dollar-babies.
Rainer Alt and
Hans-Dieter Zimmermann
Editors-in-Chief
====================================================================
Electronic
Markets - The International Journal on Networked Business
====================================================================
Editors-in-Chief:
Rainer Alt, Leipzig University and Hans-Dieter Zimmermann,
FHS St. Gallen, University of Applied Sciences
Executive
Editor: Maxi Herzog, Leipzig University
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