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Minitrack: AI, Organizing, and Management
Track: Organizational Systems and Technology
Description
Software tools using artificial intelligence (AI) methods are now
being used within a variety of organizational routines and
practices, creating new types of human-machine configurations and
playing an increasing role in the context of contemporary
organizing. Examples can be found across areas such as management
decision making, manufacturing, and even design and creative
applications. These tools use data science techniques to generate
predictive insights, some of which can be described as rational
agents that perform tasks in an autonomous fashion, i.e., with
little or no user intervention. AI methods are guided by their
underlying machine learning models and associated functions. They
constitute a new type of material agency in the context of
contemporary organizing.
But as organizations become more reliant on AI methods, they need
new 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 practices. 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 mini-track aims to contribute to our understanding of the
mechanisms through which humans organize together with AI-based
systems as well as the process organizations use to develop these
AI methods and systems.
We aim to provide a platform for thought and discussion in this
important and emergent field within information systems and IT
research. We invite conceptual as well as 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 Chairs:
Aron Lindberg, Stevens Institute of Technology, USA (primary
contact) (
aron.lindberg@stevens.edu) Jeff V. Nickerson, Stevens
Institute of Technology, USA (
jnickers@stevens.edu) Jeffrey Saltz,
Syracuse University, USA (
jsaltz@syr.edu)
Stefan Seidel, University of Liechtenstein, Liechtenstein
(
stefan.seidel@uni.li)
Important Deadlines:
April 15 Paper submission system open for HICSS-55
June 15 Papers due
August 17 Notification of Acceptance/Rejection
September 22 Deadline for Authors to Submit Final Manuscript for
Publication
October 1 Deadline for at least one author of each paper to
register for HICSS-55
Conference Website:
http://hicss.hawaii.edu/
Author Guidelines:
http://hicss.hawaii.edu/tracks-and-minitracks/authors/
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