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Minitrack: AI, Organizing, and Management
Track: Organizational Systems and Technology
https://hicss.hawaii.edu/tracks-54/organizational-systems-and-technology/#ai-organizing-and-management-minitrack
54th Annual Hawaii International Conference on System Sciences
(HICSS-54)
January 5-8, 2021
Grand Hyatt Kauai
Important Dates for Paper Submission
June 15, 2020: Paper Submission Deadline (11:59 pm HST)
August 17, 2020: Notification of Acceptance/Rejection
September 4, 2020: Deadline for A-M Authors to Submit Revised
Manuscript for Review
September 22, 2020: Deadline for Authors to Submit Final
Manuscript for Publication
October 1, 2020: Deadline for at least one author of to register
for HICSS-54
As organizations become more reliant on AI methods, they need new
organizational and management theories, frameworks, and
methodologies that can help them understand the consequences of
using these AI tools—both at the level of structures and
organizational activities. Since such agents often rely on complex
internal processing, their behavior is less predictable than that
of the types of IT artifacts we are used to dealing with. This
opens up a number of problem areas with regards to managing and
organizing these methods. For example:
- How does coordination shift as AI tools are used, and what new
types of organizational hierarchies and structures emerge?
- How do power relations change, and how do different
organizational actors use these new technologies to reshape power
relations?
- What is the impact of using AI on those processes that have
traditionally been seen as being entirely driven and controlled by
humans?
- How can the organization evaluate the ethical implications of
deployed AI methods?
- What are relevant KPIs and metrics for assessing the
effectiveness of AI applications?
- How should an organization manage, staff and coordinate AI
development teams?
This minitrack aims to contribute to our understanding of the
mechanisms through which humans organize together with
software-based agents as well as the process organizations use to
develop these AI methods.
We aim to provide a platform for thought and discussion in this
important and emergent niche within information systems and IT
research. We invite both conceptual and empirical contributions
using different methodological approaches (qualitative,
quantitative, design-oriented, simulation, etc.).
In addition to the questions raised above, potential topics
include, but are not limited to:
- AI & coordination: How does AI change the way humans
coordinate?
- AI & power: How does AI affect corporations, markets, and
peer production structures?
- AI & governance: Who runs the technology? What does the
technology run?
- AI & development: How to manage project and deployment risk?
- AI & creativity: How can AI be creative? How can humans and
AI be co-creators?
- AI & design: What does AI design? Should it design itself?
- AI & innovation: How does AI foster innovation?
- AI & crowds: What do crowds do for machine learning, and
what’s in it for the crowds?
- AI & organizational routines: How does AI change the nature
of work?
Minitrack Co-Chairs:
Stefan Seidel (Primary Contact)
University of Liechtenstein
stefan.seidel@uni.li
Aron Lindberg
Stevens Institute of Technology
aron.lindberg@stevens.edu
Jeff Nickerson
Stevens Institute of Technology
jnickers@stevens.edu
Jeffrey Saltz
Syracuse University
jsaltz@syr.edu
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