[AISWorld] Call for Submissions: The Interplay of Machines and Humans: State of the Art and a Research Agenda for Hybrid Intelligence

[Philipp Ebel]

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 at uni-kassel.de) and Philipp Ebel (ph.ebel at 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/