-------- Forwarded Message -------- Subject: [WI] HICSS-56 Call for papers for the mini-track on: "AI and the Future of Work" Date: Mon, 30 May 2022 07:41:29 +0000 From: Dominik Siemon Dominik.Siemon@lut.fi Reply-To: Dominik Siemon Dominik.Siemon@lut.fi To: wi@lists.kit.edu wi@lists.kit.edu
*Dear WI-Community,* * * Please find our call for papers for the Mini-track on “AI and the Future of Work” (Track: Collaboration Systems and Technologies) at HICSS-56.
We are looking forward to submissions from the community!
Best regards, Dominik ########################################################################################## * * *HICSS-56 Call for papers for the mini-track on: "AI and the Future of Work"* Collaboration Systems and Technologies Track /Hawai'i International Conference on Systems Sciences (HICSS)/ January 3-6, 2023
Deadline for submissions: *June 15, 2022*
*Track description:* Developments in Artificial Intelligence (AI) are setting the stage for a paradigm shift in the workplace. According to PwC, 72% of business executives say that AI will give them a competitive advantage in the future1. In fact, in many ways the future is already here. Several repetitive and simple tasks that were typically performed by humans are now being automated by AI bundled with other technologies, such as cloud systems, augmented reality, (social) robots, IoTs, and wearables. Consequently, the ratio of tasks executed by machines to humans is dramatically shifting. Human workers are rapidly being replaced with AI on many fronts. For instance, in 2018 an average of 71% of total task hours were performed by humans compared to 29% accomplished by machines. However, this average is expected to shift dramatically in the near future with 58% of tasks hours expected to be performed by humans and the remaining 42% to be handled exclusively by machines by 20222.
In a world of such rapid technological changes, it is paramount to have an overview of the research being conducted in this discipline. Such an understanding of current developments of AI and associated technologies enables us to envision the future workplace and its effect on human employees. These insights also provide guidance to employees, teams, organizations, and governments in creating a sustainable and synergistic workplace. Finally, engaging in this research allows us to proactively counter any negative effects that may arise from the changes in the work settings. Through this minitrack, we hope to create a platform where researchers working on AI in the context of future of work can come together and create collaborations that will allow them to capitalize on each other’s work.
The “AI and Future of Work” minitrack is especially interested in the following topics: 1.Power shifts between humans and AI 2.AI and employees’ mental and physical wellbeing 3.Shift in social/role identities with the introduction of AI 4.Required skill set for human employees in an era of AI 5.AI and the changing face of leadership 6.Social relationships and AI at the workplace 7.Integration of AI and work practices (knowledge sharing, decision making, etc.) 8.Ethical considerations of AI at the workplace 9.Financial and economic implications of AI implementation in the workplace 10.The changing meaning of work or work-life balance in an era of AI 11.AI task appropriateness 12.Designing AI for the workplace 13.AI and changes in work settings 14.Workplace Analytics and AI 15.AI and creativity in the workplace
*Important Dates* April 15, 2022: Paper submission system opened for HICSS-56 June 15, 2022 | 11:59 pm HST: Paper submission deadline August 17, 2022: Notification of acceptance/rejection September 4, 2022: Deadline for authors (whose papers are conditionally accepted) to submit a revised manuscript September 22, 2021: Deadline for authors to submit final manuscript for publication October 1, 2021: Deadline for at least one author of each paper to register for the conference October 22, 2022: Deadline for the paper production fee payment January 3-6, 2023: HICSS-56 conference
*MINITRACK COORDINATORS:* Triparna de Vreede Muma College of Business University of South Florida tdevreede@usf.edu
Xusen Cheng School of Information Renmin University of China xusen.cheng@ruc.edu.cn
Dominik Siemon School of Engineering Science LUT University, Finland Dominik.Siemon@lut.fi
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