-------- Forwarded Message -------- Subject: [AISWorld] [Fast Track Opportunity at EM][CFP]AMCIS 2020 Minitrack - The Dark Sides of AI Date: Mon, 24 Feb 2020 05:27:55 +0800 (GMT+08:00) From: 牟健 jian.mou@xidian.edu.cn To: aisworld@lists.aisnet.org
CALL FOR PAPERS Track: AI and Semantic Technologies for Intelligent Information Systems (SIGODIS) Minitrack 2: The Dark Sides of AI https://amcis2020.aisconferences.org/track-descriptions/#toggle-id-4
MINITRACK DESCRIPTION Development and utilization of AI has been gaining increasing momentum during the last few years. It has become a critical component of doing business in different industries, including finance, health, manufacturing, retailing, supply chain, logistics among others. Regardless of the opportunities that AI offers, there are undoubtedly plentiful dark sides of AI that present enormous risks for individuals, communities, organizations and the 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.
IMPORTANT DATE February 28, 2020: Deadline for paper submissions (close for authors at 5:00 pm MT) April 13, 2020: Notification of the initial decision April 22, 2020: Deadline for camera-ready revision August, 12-16, 2020: AMCIS 2020 (Salt Lake City, Utah, USA)
JOURNAL FAST-TRACK OPPORTUNITY The most promising submissions will be invited to fast track of the Special Issue on “The Dark Sides of AI” at Electronic Markets (Springer), which is indexed by SSCI with a current impact factor of 3.553 (Q1 in Management Discipline), and is ranked as an A journal in ABDC Journal Quality List.
MINITRACK CO-CHAIRS Lin Xiao (xiaolin@nuaa.edu.cn) Xiao-Liang Shen (xlshen@whu.edu.cn) Jian Mou (jian.mou@xidian.edu.cn) Xusen Cheng (xusen.cheng@uibe.edu.cn) *For further information, please feel free to contact us. _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org