[AISWorld] Information Systems Frontiers - Special Issue on Designing and Managing Human-AI Interactions

[Babak Abedin]

*CALL FOR PAPERS*

*Special Issue: Designing and Managing Human-AI Interactions*






*Link to the special issue *


*https://resource-cms.springernature.com/springer-cms/rest/v1/content/18030966/data/v3
<https://resource-cms.springernature.com/springer-cms/rest/v1/content/18030966/data/v2>
*

*Aims and Objectives*

The development and use of *Artificial Intelligence* (AI) has received
significant attention in academia and practice alike as AI has reached, or
even surpassed, the ability of humans in a variety of domains (Arrieta et
al., 2020; Sugumaran et al., 2017). AI has been described as the non-human
intelligence that is flexible and autonomous enough to understand and learn
from data in order to achieve specific outcomes (Kaplan and Haenlein,
2019). While different definitions for ‘Artificial Intelligence’ exist,
there is a general understanding that it includes learning, reasoning, and
adaptation capabilities as its key features.

AI is increasingly being applied in various disciplines with potentially
severe consequences for humans, including medical diagnostics (McKinney et
al., 2020), job recruitment (Dastin, 2018), transport management (He et
al., 2014), credit scoring (Wang et al. 2019), and autonomous vehicles
(Grigorescu et al., 2019). Yet, despite information systems’ rich tradition
as a discipline in theorizing and studying both the technical elements as
well as the human aspects in designing and managing complex systems
(Beydoun et al., 2019; Dwivedi et al., 2015), the social perspective within
interactions between humans and AI systems is yet underresearched (Harper,
2019). Human–AI interaction necessitates researchers and practitioners to
go beyond smart algorithms, as it rather requires effective coordination of
complex problem solving, teamwork, communication, and joint action between
the human agent and AI systems (Seeber et al., 2020). Collaboration between
the human and the AI can create heterogeneous work groups (Arrieta et al.,
2020; Kaplan and Haenlein, 2019), which would require shared understanding
for effective collaborative outcomes (Bittner and Leimeister, 2014).

The theme of this special issue highlights the need for conceptualization
and empirical study of challenges associated with the implications of AI
systems. In particular, we aim to explore, theorize, and test guidelines
for upholding and implementing good AI practices in designing and managing
human-AI interactions. We welcome the examination at the individual,
group/team, organizational or societal level of analysis across all
possible domains. We solicit case studies, surveys, experiments,
qualitative research, design science research, and collaborative action
research among academics, executives and policy makers that illustrate
innovative approaches, resolutions, and solutions to these described
tensions, risks, and opportunities. We especially seek papers that offer
theoretical models along with observations or evidence of consequences
related to these models.



*Topics of interest include, but are not limited to**:*

   - Theorizing Human-AI interactions at individual and organizational
   levels
   - Management and governance of Human-AI interactions
   - Opportunities and challenges of Human-AI interactions from the
   perspective of developers, users, and policy makers
   - (Cross-stakeholder) Design of Human-AI interactions
   - Ethics, legal and social issues of Human-AI interactions
   - Regulation and certification of Human-AI interactions
   - Responsibility in Human-AI Interactions
   - Privacy and data fusion in the context of AI
   - Interaction with AI through human-in-the-loop development
   - Trust in the context of Human-AI interactions
   - Transparency and explainability of AI (XAI)
   - Business value and consequences of  Human-AI interactions
   - Supporting AI ethical principles during system requirements and design



*Important dates*:

   - June 2020: Call issued
   - April 30th, 2021: Submission deadline for papers
   - July 31st, 2021: Reviews returned
   - October 30th, 2021: Revised papers submitted
   - December 15th, 2021: Notification
   - January 31st, 2022: Final papers due
   - Early 2022: Special issue published





*Guest Editors*

   - *Babak Abedin*, Macquarie Business School, Macquarie University,
   Sydney, Australia
   - *Iris Junglas*, The College of Charleston, Charleston, South Carolina,
   USA
   - *Christian Meske*, Freie Universität, Berlin & Einstein Center Digital
   Future, Berlin, Germany
   - *Hamid R. Motahari-Nezhad*, AI Lab, Global Technology Innovation,
   Ernst & Young, Palo Alto, California, USA
   - *Fethi **Rabhi*, University of New South Wales, Sydney, Australia




*Submission Instructions *

Manuscripts must be submitted in PDF format to the ISF-Springer online
submission system at https://www.editorialmanager.com/isfi and the authors
need to select "Special Issue: Managing Human-AI Interactions" during the
submission process. Paper submissions must conform to the format guidelines
of Information Systems Frontiers available at
https://www.springer.com/journal/10796/submissionguidelines. For any
further information about the special issue, please contact
babak.abedin at mq.edu.au or christian.meske at fu-berlin.de