[AISWorld] CfP Special Issue on "The Dark Sides of AI" - Electronic Markets

[Xiao-Liang Shen]

Call for Papers - Electronic Markets
Special Issue on "The Dark Sides of AI"

SUBMISSION DEADLINE: 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, xlshen at whu.edu.cn
Xusen Cheng, Renmin University of China, China, xusen.cheng at ruc.edu.cn
Jian Mou, Pusan National University, South Korea, jian.mou at pusan.ac.kr
Alex Zarifis, Loughborough University, UK, a.zarifis at lboro.ac.uk 

SPECIAL ISSUE THEME
Artificial intelligence (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 has 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 the 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. Organizations also face significant issues where the lack of a strategy relating to the implications of AI could affect critical business areas and fail to address concerns from the 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 TOPICS
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 GUIDELINES
We encourage original contributions with a broad range of methodological approaches, including conceptual, qualitative and quantitative research. 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.

ABOUT EM
Electronic Markets (EM) is a quarterly, scholarly journal that covers diverse aspects of the digital economy. Edited at Leipzig University and published by Springer, EM has emerged as one of the premier scientific journals that explicitly focus on networked businesses enabled by information technology ("digitalization"). Since 2010, EM is included in the Social Science Citation Index (SSCI) and in 2020, EM celebrated its 30th annual volume. With a 2019 Impact Factor of 2.981 and a 5-year Impact Factor of 4.417 EM is listed "A" in many rankings. Scholars have access to EM in around 7,000 institutions worldwide via SpringerLink.


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Xiao-Liang Shen, Professor
Economics and Management School
Wuhan University, P.R.China
Tel: 86-27-6875-3063
Fax: 86-27-6875-4150
Personal Website: http://xlshen.mysxl.cn/