-------- Forwarded Message --------
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
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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).
· The submissions should be
e-mailed
to Dominik Dellermann (dellermann@uni-kassel.de)
and Philipp Ebel (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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