[AISWorld] CfP EM Update: The Dark Sides of AI

Tue Oct 13 00:52:04 EDT 2020

***Apologies for Cross-Postings***

Dear Colleagues,

Electronic Markets wants to share an update on their Call for Papers on "The
Dark Sides of AI". The deadline has been extended to December 31, 2020.

Guest Editors

* Lin Xiao, Nanjing University of Aeronautics and Astronautics, China,
xiaolin at nuaa.edu.cn

* Xiao-Liang Shen, Wuhan University, China,  <mailto:xlshen at whu.edu.cn>
xlshen at whu.edu.cn 

* Xusen Cheng, Renmin University of China, China,
<mailto:xusen.cheng at ruc.edu.cn> xusen.cheng at ruc.edu.cn 

* Jian Mou, Pusan National University, South Korea,
<mailto:jian.mou at pusan.ac.kr> jian.mou at pusan.ac.kr  

* Alex Zarifis, Loughborough University, UK,  <mailto:a.zarifis at lboro.ac.uk>
a.zarifis at lboro.ac.uk 

Theme

Artificial intelligent (AI) is believed to bring about significant changes
to networked digital business, and it facilitates smart services and digital
transformation. In particular, AI is regarded among the current top five
emerging technologies when organizations execute the digital first strategy.
The Gartner survey showed that 59% of organizations are gathering
information to build their AI strategies, while the remainder have already
made progress in piloting or adopting AI solutions (Panetta, 2018),
indicating that we are facing a new era of AI, which brings both
unprecedented opportunities and emerging challenges. Academically, AI has
attracted some initial attention in business research with respect to its
possible applications in the field of information systems (e.g., Gursoy et
al., 2019), tourism and hospitality (e.g., Li et al., 2019), marketing
(e.g., Syam and Sharma, 2018), and financial management (e.g., Culkin and
Das, 2017), to change the interaction between organizations and customers,
gain new insights and obtain greater business values (e.g., increasing
efficiency and effectiveness).

Regardless of the numerous opportunities that AI offers, there are
undoubtedly plentiful dark sides of AI that present enormous risks for
individuals, organizations and society, which are considered as three most
important dimensions for digitalization (Alt, 2018). From an individual
perspective, the issues of AI discrimination have been reported by consumers
in content recommendation and product recommendation in electronic markets.
>From an organizational perspective, the introduction of AI based
technologies is likely to influence the profitability of companies, but in
electronic markets the negative side of high-frequency trading has also been
reported on. Organizations also face significant issues where the lack of a
strategy relating to implications of AI could affect critical business areas
and fail to address concerns from human workforce. From a societal
perspective, AI could potentially widen the gap amongst emerging and
developed markets as well as the rich and poor. The issue of potential job
losses due to AI technologies has also received widespread attention. 

Therefore, considering the ubiquitous use of AI in digital business today,
the significant negative or detrimental consequences of AI to individuals,
organizations and society remain to be examined and are worthy of further
research attention. We thus organize this special issue and encourage the
potential authors to address this important but so far largely neglected
topic - the dark sides of AI in the electronic markets contexts, including
social networks, electronic commerce, digital platforms, customer
relationship management, etc.

Central issues and themes

The goal of this special issue is to create a platform to address the "dark
sides of AI" in digital networked business. Submissions adopting qualitative
or quantitative research approaches, and from individual, organizational,
and/or societal perspective are welcome. Possible contributions may include,
but are not limited to, the following topics:

*	The potential harms resulted from the widespread use of AI in
electronic markets
*	The detrimental effect of benefits and the costs of using AI in
electronic markets
*	Understanding how individuals, organizations and societies can
minimize, prevent or respond to the dark side of AI in the digital business
worlds
*	Examining dark side outcomes, behaviors and practices that
accidently or unintentionally emerge by using AI in electronic markets
*	The ethics of using AI in electronic markets
*	Approaches to lobbying, regulating and controlling dark side
behaviors and practices associated with AI usage in electronic markets
*	The trust, security and privacy issues in using AI in electronic
markets
*	The antecedents and consequences of dark side using AI in electronic
markets
*	Case studies of dark side of AI in electronic markets
*	Behavioral, psychological, ethical, social and cultural issues
related to the dark sides of AI in electronic markets

Submission

Electronic Markets is a Social Science Citation Index (SSCI)-listed journal
(IF 3.553 in 2018) in the area of information systems. We encourage original
contributions with a broad range of methodological approaches, including
conceptual, qualitative and quantitative research. Please also consider
position papers and case studies for this special issue. All papers should
fit the journal scope (for more information, see
<http://www.electronicmarkets.org/about-em/scope/>
www.electronicmarkets.org/about-em/scope/) and will undergo a double-blind
peer-review process. Submissions must be made via the journal's submission
system and comply with the journal's formatting standards. The preferred
average article length is approximately 8,000 words, excluding references.
If you would like to discuss any aspect of this special issue, you may
either contact the guest editors or the Editorial Office.

Important deadline

* Submission Deadline: December 31, 2020

Special Note - AMCIS 2020

The guest-editors organized a conference mini-track "The dark sides of AI"
in Americas Conference on Information Systems (AMCIS) 2020 (
<https://amcis2020.aisconferences.org/track-descriptions/#toggle-id-4>
https://amcis2020.aisconferences.org/track-descriptions/#toggle-id-4).
Authors interested in this special issue are encouraged to submit papers to
this mini-track first, and this provides the potential authors an
opportunity to receive developmental feedback and suggestions. However,
authors who are unable to attend AMCIS will not be disadvantaged, and all
papers will go through a full peer review process to decide which papers to
include in this special issue.

References

Alt, R. (2018). Electronic Markets and current general research. Electronic
Markets, 28 (2), 123-128.

Culkin, R. & Das, S. R. (2017). Machine learning in finance: The case of
deep learning for option pricing. Journal of Investment Management, 15 (4),
92-100.

Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019). Consumers acceptance of
artificially intelligent (AI) device use in service delivery. International
Journal of Information Management, 49, 157-169.

Li, J., Bonn, M. A. & Ye, B. H. (2019). Hotel employee's artificial
intelligence and robotics awareness and its impact on turnover intention:
The moderating roles of perceived organizational support and competitive
psychological climate. Tourism Management, 73, 172-181.

Panetta, K. (2018). Gartner top 10 strategic technology trends for 2018.
Accessed September 2019. Retrieved from:
https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technolo
gy-trends-for-2018/. 

Syam, N. & Sharma, A. (2018). Waiting for a sales renaissance in the fourth
industrial revolution: Machine learning and artificial intelligence in sales
research and practice. Industrial Marketing Management, 69, 135-146.

Best regards,

Rainer Alt, Hans-Dieter Zimmermann, Maxi Herzog and Dorothee Ulrich

====================================================================

Electronic Markets - The International Journal on Networked Business 

====================================================================

Editors-in-Chief: Rainer Alt, Leipzig University and Hans-Dieter Zimmermann,
FHS St.Gallen, University of Applied Sciences 

Executive Editors: Maxi Herzog, Dorothee Ulrich, Leipzig University

Editorial Office:

c/o Information Systems Institute

Leipzig University 

04109 Leipzig, Germany

Mail:  <mailto:editors at electronicmarkets.org> editors at electronicmarkets.org

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