Title of the workshop
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The Interplay of Machines and Humans: State of the Art and a Research Agenda for Hybrid Intelligence
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Main Contact Details
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Dominik Dellermann
dellermann@uni-kassel.de
Dr. Philipp Ebel
ph.ebel@uni-kassel.ch
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Organizers
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Dominik Dellermann
dellermann@uni-kassel.de
Dr. Philipp Ebel
ph.ebel@uni-kassel.ch
Dr. Sarah Oeste-Reiss
oeste-reiss@uni-kassel.de
Prof. Dr. Matthias Söllner
Matthias.soellner@unisg.ch
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Theme of the workshop
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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.
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Format
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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 participants will develop their ideas in a short paper of not more than two pages (ECIS paper template) prior to the workshop. 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.
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Suitability to ECIS audience
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Information Systems are defined as socio-technical systems including human and artificial components. The rise of AI is now changing the capabilities of the artificial components of IS and the potential distribution of tasks between human and artificial components of an IS dramatically, and thus affects the core of our discipline. Hybrid Intelligence seeks to leverage the potentials of both, human and artificial intelligence, to come up with better IS for a plethora of different groups of tasks, such as decision-making, resource allocation, and so on. In our workshop, we seek to highlight the potentials of hybrid intelligence for the IS discipline, and the challenges in understanding how users interact with systems relying on hybrid intelligence, and respectively in how such systems should be designed.
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Program committee members
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Dr. Philipp Ebel
ph.ebel@uni-kassel.ch
Dr. Sarah Oeste-Reiss
oeste-reiss@uni-kassel.de
Prof. Dr. Matthias Söllner
Matthias.soellner@unisg.ch
Prof. Dr. Jan Marco Leimeister
Janmarco.leimeister@unisg.ch
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Plan for publications
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In parallel to the Pre-ECIS workshop we plan to compile a special issue on “Hybrid Intelligence” in the European Journal in Information Systems (Senior Scholar Basket) or the Electronic Markets Journal. The most promising submissions to the Pre-ECIS Workshop will be further developed and will receive the chance to be submitted into this special issue.
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Target audience and expected attendance
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The primary target audience includes researchers interested in investigating and designing collaboration and decision making between machines and humans. In particular, we encourage young scholars that have begun researching Hybrid Intelligence.
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Workshop schedule
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deadlines for submission: 30.04.2018
date of the workshop: 25.06.2018
The workshop will be a one-day event, including three sessions. The first session will provide scholars working in the field to present and discuss individual ideas for the future development of ‘hybrid intelligence’. In the second session, senior scholars will provide thought provoking insights. The third session serves as a workshop to collect and systematize a research agenda for Hybrid Intelligence in the IS discipline. The workshop will be concluded by a social event.
Time
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Event
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09:00 – 09:30
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Welcome and Networking
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09:30 – 11:15
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Workshop Session 1a: Paper/Project Presentations
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11:15 – 11:30
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Coffee Break
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11:30 – 12:15
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Workshop Session 1b: Paper/Project Presentations
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12:15 – 13:00
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Lunch Break
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13:00 – 13:45
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Workshop Session 2b: Senior Scholar Pitches
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13:45 – 14:00
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Coffee Break
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14:00 – 15:30
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Workshop Session 3: Workshop on Hybrid Intelligence in IS Research Agenda
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15:30 – 15:45
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Closing
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16:00 – Welcome Reception
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Social Event (location to be announced)
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Special equipment needed
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Projector
Screen
Whiteboard/ Movable Walls
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Prior experience of the proposers in workshops organisation
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Within our research groups at Kassel University as well as at the University of St.Gallen we were involved in the organization of several research-oriented workshops. These workshops comprised up to 40 people and were organized without the help of a third party. In addition to that, the authors of this proposal have all been involved in the organization team of the WI 2017, which took part at the University of St. Gallen.
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