-------- Forwarded Message --------
Minitrack: Advances in Trust Research: Artificial Intelligence in
Organizations
TRACK: ORGANIZATIONAL SYSTEMS AND TECHNOLOGY
05-08 January, 2021
Grand Hyatt Kauai
http://hicss.hawaii.edu
Within the 54th Hawaiian International Conference on System
Sciences (HICSS), we organize a minitrack on "Advances in Trust
Research: Artificial Intelligence in Organizations". The 54th
HICSS, one of the most prominent conferences on Information
Systems and Sciences worldwide, will be held January 05-08, 2021
at Grand Hyatt Kauai (
http://hicss.hawaii.edu)
<about:blank>.
Artificial intelligence (AI) is changing the relationship of
humans and machines in organizations. AI is already widely used to
enhance organizational efficiency by automating simple work tasks
previously conducted by humans. Furthermore, organizations are
increasingly exploring AI to enhance organizational effectiveness.
For example, by drawing on large datasets, AI is applied in
decision making, problem-solving, reasoning, learning and
creativity in various organizational functions including HR,
production, finance, marketing, logistics and innovation. Despite
the current rapid development of relevant technologies uncertainty
prevails of the real benefits and value created by AI. For
example, opaque AI computations can hardly be explained to
internal or external stakeholders, potentially resulting in
outcomes that can hardly be trusted. The discussion of whether AI
will create a utopia or dystopia for organizations and their
employees prevails.
Trust is highly relevant for understanding the adoption and
related risks and opportunities of AI in contemporary
organizations. Until recently, research on trust has been
dominated by the conceptual and empirical assessment of
organisational and interpersonal trust. However, the sources and
referents of trust, and the trust mechanisms that shape trusting
beliefs and behavior are becoming more diverse, and increasingly
including complex technological referents - such as AI - as well
as the trust mechanisms that shape trusting beliefs and behavior.
In this mini-track, we aim to focus the relationship of trust and
AI in organizations.
How do new advancements in AI change the way we trust, and
trust-related processes in organizations? What forms will trust
take in the context of intelligent systems being implemented by
organizations? How do decision makers interpret and build trust in
AI applications? When and how do trust in AI, trust in
organizations, trust in humans, and trust in technology augment or
substitute each other? How can we conceptualize and measure trust
in AI? What shapes trust in AI and its consequences for
organizations? What are the various risks and vulnerabilities to
trust imposed by emerging algorithmic capabilities, cloud-based
platforms, complex platform infrastructures, and highly
distributed peer-to-peer systems?
AI development and adoption requires interdisciplinary and
cross-border collaboration among analytics experts, software
developers, business and users. What kind of challenges and
opportunities are involved in augmented intelligence and related
decision-making from an organizational perspective? In what
conditions do decision makers/managers/employees trust in AI, and
when in human knowledge? Is it possible that human-like AI systems
exacerbate rather than compensate weaknesses common in trust
assessments made in contemporary organizations?
We welcome papers that theoretically or empirically advance our
understanding by addressing the cross-section of the two topic
areas (1) trust research and (2) artificial intelligence in
organizations. Papers can use any acceptable methodology and/or
theory.
Some possible topic areas include but are not limited to the
following:
* Understanding the role of AI and trust in complex organizational
decision making
* How do AI-powered algorithmic management practices implemented
by organizations affect employee trust?
* Understanding the role of trust in the development and
implementation of the algorithmic cycle in organizations, e.g.,
functions, openness of coding, data collection and implementation
of new services
* Understanding trust relationships between individuals,
organizations, and emerging technologies, e.g., personal robots,
smart toys, wearables, personal voice assistants, 3D printing,
autonomous vehicles, drones.
* How can organizations increase trust in opaque black-box AI
algorithms?
* How can organizations maintain employee trust when introducing
robots substituting or augmenting employee work tasks?
* Understanding trust in AI in teams, problem solving and creative
work
* When and how could AI as supervisor or team member build
employee trust?
* How can organizations manage bias and maintain stakeholder trust
in AI-enabled decision-making?
* How do norms and policies at organizational and/or institutional
level influence trust in organizational AI development and
adoption?
Minitrack Co-Chairs:
Sirkka L. Jarvenpaa (Primary Contact), McCombs School of Business,
The University of Texas at Austin,
Sirkka.Jarvenpaa@mccombs.utexas.edu<mailto:Sirkka.Jarvenpaa@mccombs.utexas.edu>
Mareike Möhlmann, Warwick Business School, University of Warwick,
Mareike.Moehlmann@wbs.ac.uk<mailto:Mareike.Moehlmann@wbs.ac.uk>
Kirsimarja Blomqvist, School of Business, LUT University,
Kirsimarja.blomqvist@lut.fi<mailto:Kirsimarja.blomqvist@lut.fi>
Sirkka L. Jarvenpaa is the James Bayless/Rauscher Pierce Regents
Chair in Business Administration at the McCombs School of
Business, University of Texas at Austin where she is the director
of the center for Business, Technology, and Law. During 2008-2012,
she held the Finnish Distinguished Professorship at Aalto
University School of Science and Technology. She has held visiting
professorships in leading business schools in the U.S. and Asia.
She has served as the editor-in-chief of the Journal of
Association for Information Systems, co-editor-in-chief of
Strategic Information Systems, and as the senior editor of
Organization Science, Information Systems Research, and MIS
Quarterly. She is a recipient of three honorary doctoral degrees.
In 2017, she was awarded the Association for Information Systems
(AIS) LEO Award for Exceptional Lifetime Achievement in the field
of information systems.
Mareike Möhlmann is Assistant Professor in Information Systems
Management at Warwick Business School. In Summer 2020 she will
start a new position as Assistant Professor at Bentley University.
Previously, she worked as a postdoctoral researcher in the IOMS
Department at the Stern School of Business/New York University.
She obtained her PHD at the University of Hamburg in Germany. Her
current research focuses on digital trust, so-called sharing
economy services and the gig economy, digital platforms, and
algorithmic management.
Kirsimarja Blomqvist is a Professor for Knowledge management at
the School of Business and Management at LUT University, Finland.
Her research focuses on trust, knowledge, innovation,
digitalization and new forms of organizing. She is a founding, and
board member for FINT, First International Network for Trust
researchers and serves as Associate Editor for Journal of Trust
Research and an editorial review board member for Industrial
Marketing Management, and Journal of Organization Design. She is a
frequent speaker of her research topics and a member of the
Academy of Finland Research Council for Culture and Society.
IMPORTANT DATES FOR CALL FOR PAPERS
July 15, 2020 Submission full manuscripts
August 17, 2020 Acceptance Notifications
September 22, 2020 Deadline for Final Manuscript
October 1, 2020 Deadline for at least one author to register
More info:
http://hicss.hawaii.edu
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