-------- Forwarded Message -------- Subject: [AISWorld] CFP AMCIS2021 - TRACK: AI and Semantic Technologies for Intelligent Information Systems (SIG ODIS) Date: Sat, 13 Feb 2021 15:33:27 -0500 From: Vijayan Sugumaran sugumara@oakland.edu To: aisworld@lists.aisnet.org

CALL FOR PAPERS AMCIS 2021

Virtual Conference, August 9 - 13, 2021

Paper submission deadline: March 1 (5:00pm Eastern Standard Time, US)

Submission System Link: https://new.precisionconference.com/user/login https://new.precisionconference.com/user/login

TRACK: AI and Semantic Technologies for Intelligent Information Systems

Sponsoring SIG: SIGODIS

The purpose of this track is to provide a forum for academics and practitioners to identify and explore the issues, opportunities, and solutions using Artificial Intelligence, computational ontologies, data driven IS, and intelligence related to business and systems including the social web, intelligent systems design, implementation, integration and deployment. An increasing number of artificial intelligence-based systems are being developed in different application domains employing a variety of tools and technologies. This track is intended to increase cross-fertilization of ideas from these areas, share lessons learned and stimulate areas for further research.

Track Chair: Don Heath, University of Wisconsin Oshkosh (drheath2@gmail.com mailto:drheath2@gmail.com )

Mini-track:

Artificial Intelligence and Machine Learning: Antecedents, Mechanisms, and Consequences - Social, Ethical, & Practical Artificial intelligence (AI) and machine learning (ML) have brought significant changes to workplaces and our daily lives. However, there are many issues that remain unresolved. In this mini-track, we focus on the social, ethical, and practical aspects of AI and ML, and investigate the antecedents, mechanisms, and consequences of the use of AL and ML. Issues of interest include but are not limited to the following: 1) factors affecting automation through AI and ML, including both technical and practical factors, 2) how to automate work through AI and ML, 3) how AI and ML are used in practice, 4) issues related to the use of AI and ML, such as legal, ethical, governance, and biased use. 5) consequences and impact of use of AI and ML, such as operational efficiency and effectiveness, business performance, job displacement, and dark side of AI or ML.

Mini-track Chair: Gang Peng (gpeng@fullerton.edu mailto:gpeng@fullerton.edu )

Mini-track:

Innovative Technologies for Managing Data-intensive Systems Evoked by recent trends, such as big data, data science or cloud computing, the planning and engineering of IS in today's data-driven world is getting progressively a more complex task. In many cases, sophisticated approaches are required to overcome the data-intensive nature of such endeavors. At this point, established technologies, as they have been used for many years, are reaching their limits. However, innovative technologies and concepts, such as automation, continuous integration, micro services, domain specific ontologies or decision support systems appear to be promising "enablers" to meet the current demands. To overcome their realization shortcomings, a plethora of facets must be handled. Hence, in this mini-track, we welcome a variety of research approaches including, but not limited to, theoretical articles, reviews and use case studies that are related to the use of innovative technologies for planning, engineering, deploying, testing and operating data-intensive systems.

Mini-track co-chairs: Matthias Volk (matthias.volk@ovgu.de mailto:matthias.volk@ovgu.de ) Daniel Staegemann (daniel.staegemann@ovgu.de mailto:daniel.staegemann@ovgu.de )

Mini-track:

Artificial Intelligence, Machine Learning and Automation in Business - Tools, Technologies, and Techniques Artificial Intelligence (AI) is assuming increasing importance in business, specifically in the areas of machine learning, analytics, statistical analyses, and a variety of big data-related topics. The purpose of this mini-track is to provide a venue for forum for researchers involved in basic discovery investigations, applied research investigating business phenomena, and tool or platform development associated with large data sets or other AI-related areas.

Mini-track co-chairs: John Erickson (johnerickson@unomaha.edu mailto:johnerickson@unomaha.edu ) Keng Siau (siauk@mst.edu mailto:siauk@mst.edu )

Mini-track:

Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk and Compliance In the last decade, Artificial Intelligence (AI) and Machine Learning (ML) have developed from peripheral technologies to dominant drivers of innovation. They are routinely used to recognize images; parse speech; respond to questions; make decisions; and replace humans.

Given that AI and ML tools are becoming a part of our everyday lives, it is critical that researchers and practitioners understand their state of art, adoption and influence. Improperly deployed AI and ML tools can incorporate biases, violate privacy, threaten safety, and take questionable decisions that can affect individuals, organizations and ultimately society.

This mini-track will focus on the promises and perils of AI and ML with a particular focus on (a) adoption, (b) disruption, (c) potential dehumanisation, and (c) governance, risk and compliance mechanisms required to protect and enhance human wellbeing. We welcome wide-ranging papers with qualitative and quantitative orientations; with theoretical and practical contributions; from personal, organizational and societal perspectives.

Mini-track co-chairs: Valeria Sadovykh (valeriasadovykh@gmail.com mailto:valeriasadovykh@gmail.com ) David Sundaram (d.sundaram@auckland.ac.nz mailto:d.sundaram@auckland.ac.nz ) Kevin Craig (kac0117@auburn.edu mailto:kac0117@auburn.edu )

Mini-track:

Artificial Intelligence and its Role in Intelligent Systems Artificial Intelligence and Intelligent Systems are experiencing a resurgence. Significant progress has been made over the last few years in the development of machine learning, and computational intelligence techniques such as bio/nature-inspired computing, deep learning, and cognitive computing. Similarly, there is an upsurge in the application of AI technologies and multi-agent systems in a variety of fields such as electronic commerce, internet of things, computer vision, natural language processing, speech and voice recognition, and healthcare. While research on various aspects of artificial intelligence is progressing at a very fast pace, there are still a number of issues that have to be explored in terms of the design, implementation and deployment of AI applications and multi-agent systems. This mini-track provides a forum for sharing cutting edge research in AI applications and their implications on organizations.

Best papers from this mini-track will be fast tracked for publication in a special issue of International Journal of Intelligent Information Technologies (http://www.idea-group.com/IJIIT). Mini-track co-chairs: Vijayan Sugumaran (sugumara@oakland.edu mailto:sugumara@oakland.edu ) Stefan Kirn (stefan.kirn@uni-hohenheim.de mailto:stefan.kirn@uni-hohenheim.de )

Mini-track:

Customer Experience and Organizational Intelligence Increasingly, organizations are interacting with current and potential customers across a plenitude of IT-mediated "touch points". Consequently, coordinating strategies will likely dominate management thought in the near and intermediate term as the number and variety of these "touch points" continues to expand. Effective strategies will rely on quality practitioner and academic research on a variety of issues, such as how to: differentiate user experience across points of interaction, increase reach to the consumer, improve conversion rates, sustain consumer loyalty, manage the global and the local experience, etc. The end customer is at the focus, with various technologies, devices and networks facilitating seamless computing, communication, collaboration as well as commerce related functionalities to the end users. This is made possible by embedding data, sensors, controllers, and other devices into the physical and virtual spaces of human beings thereby facilitating seamless interactions and co-engagement between the end customer and the organization.

Mini-track co-chairs: John Muraski (muraskij@uwosh.edu mailto:muraskij@uwosh.edu ) Ivor Addo (addoid@uwosh.edu mailto:addoid@uwosh.edu ) Michael Patton (pattonm@uwosh.edu mailto:pattonm@uwosh.edu ) Kathleen Lynch (lynchk@uwosh.edu mailto:lynchk@uwosh.edu )

Submission Information:

URL for submission: https://new.precisionconference.com/user/login https://new.precisionconference.com/user/login

URL for Info on types of submission: https://amcis2021.aisconferences.org/submissions/types-of-submissions/ https://amcis2021.aisconferences.org/submissions/types-of-submissions/

Important dates:

* March 1 (5:00 pm Eastern Standard Time, US) - Paper submission deadline for research papers and Emergent Research Forum (ERF) papers

* April 21 (5:00 pm EST) - Workshops, panels, TREO (Technology Research, Education, and Opinion), and PDS (Professional Development Workshops) submission deadline

* May 7, 2021 - Program Chair decisions are sent to authors (TREOs, PDS, Panels and Workshops)

* August 9-13 - AMCIS (Virtual) Conference

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

Vijayan Sugumaran, Ph.D.

Distinguished Professor, Management Information Systems

Chair, Department of Decision and Information Sciences

Co-Director, Center for Data Science and Big Data Analytics

School of Business Administration

Oakland University

Rochester, MI 48309

Phone: 248-370-4649

Fax: 248-370-4275

Email: mailto:sugumara@oakland.edu sugumara@oakland.edu

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

_______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org