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AMCIS 2020, Salt Lake City, UT, USA, August 12-16
MINI-TRACK: The Dark Sides of AI
TRACK: AI and Semantic Technologies for Intelligent Information
Systems
DESCRIPTION
Development and utilization of AI has been gaining increasing
momentum during the last few years (Duan et al., 2019). It has
become a critical component of doing business in a number of
industries, such as finance, healthcare, manufacturing, retail,
supply chain, logistics and utilities (Dwivedi et al., 2019).
Regardless of the numerous opportunities that AI offers, there are
undoubtedly plentiful dark sides of AI that present enormous risks
for individuals, communities, organizations and even whole
societies. Therefore, considering the ubiquitous use of AI in
industry and society today, the significant negative or
detrimental consequences of AI remain to be examined and are
worthy of further research attention. We thus organize this
mini-track and encourage the potential authors to address this
important but so far largely neglected topic – the dark sides of
AI. Empirical research adopting qualitative or quantitative
research approaches are welcome. Topics of interests include, but
are not limited to the following:
Theories, models, and classification frameworks that shed light
on the dark sides of AI
The potential harms resulted from the widespread use of AI at
different levels
o For individuals (e.g., self-centered information cocoons)
o For groups (e.g., group polarization)
o For organizations (e.g., loss of jobs and unintended
discrimination)
o For societies (e.g., control the distribution of public
opinions)
The detrimental effect benefits and the costs of using AI
Understanding how individuals, communities, and organizations
can minimize, prevent or respond to the dark side of AI
Examining dark side outcomes, behaviors and practices that
accidently or unintentionally emerge
The ethics of using AI in various occasions
Approaches to lobbying, regulating and controlling dark side
behaviors and practices associated with AI usage
The trust, security and privacy issues in using AI
The antecedents and consequences of dark side using AI
Case studies of dark side of AI in the society
Behavioral, psychological, ethical, social and cultural issues
related to the dark sides of AI
SUBMISSION TYPES
• Full papers must not exceed 10 pages (approx. 5,000 words)
• Emergent Research Forum (ERF) papers must not exceed 5 pages
(approx. 2,500 words)
All submissions must conform to the AMCIS 2020 submission
template
<https://amcis2020.aisconferences.org/submissions/types-of-submissions/>
and will be peer-reviewed using a double-blind system.
IMPORTANT DATES
January 6, 2020: Manuscript submissions for AMCIS 2020 begin
February 28, 2020: AMCIS manuscript submissions closes at 5:00pm
MST
March 5, 2020: All papers have assigned reviewers
April 13, 2020: Track Chair recommendations due
April 22, 2020: Notification of Workshop acceptance
April 22, 2020: Camera-ready papers are due at 5:00 pm MST
MINI-TRACK CHAIRS
Dr. Lin Xiao
xiaolin@nuaa.edu.cn
Nanjing University of Aeronautics and Astronautics
Prof. Xiao-Liang Shen
xlshen@whu.edu.cn
Wuhan University
Dr. Jian Mou
Jian.mou@xidian.edu.cn
Xidian University
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