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 Chairs:
Vijayan Sugumaran, Oakland University, sugumara@oakland.edu
Don Heath, University of Wisconsin Oshkosh, drheath2@gmail.com
Schedule

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2022
Wednesday, August 10th
12:00 AM

A Personalized Harmful Information Detection System Based on User Portraits

Yuming Li, University of Auckland
Johnny Chan, University of Auckland
Gabrielle Peko, University of Auckland
David Sundaram, University of Auckland

12:00 AM

A TOGAF Based Chatbot Evaluation Metrics: Insights from Literature Review

Sagarika Suresh THIMMANAYAKANAPALYA, university at buffalo
Pavankumar Mulgund, University at Buffalo
Raj Sharman, University at Buffalo, SUNY

12:00 AM

Algorithmic Transparency in Action: How and Why Do Companies Disclose Information on Algorithms?

Tobias Bitzer, TU Dresden

12:00 AM

An Application-centric Perspective on Industrial Artificial Intelligence

Markus Schmitz, University of Erlangen-Nuremberg
Dilara Yesilbas, Friedrich Alexander University

12:00 AM

An Organizational Learning Approach to Perceiving and Addressing Algorithmic Bias in Agricultural Settings

Vijaya Lakshmi, Université Laval
Jacqueline Corbett, Université Laval

12:00 AM

BLOCKCHAIN-BASED SOLUTIONS FOR HUMANITARIAN SUPPLY CHAIN MANAGEMENT

Bavly Hanna, University of Technology Sydney
Guandong Xu, University of Technology Sydney
Xianzhi Wang, University of Technology Sydney
Jahangir Hossain, University of Technology Sydney

12:00 AM

Does the Accent of an Intelligent Conversational Agent Matter?

Caitlyn Low, Carnegie Mellon University
Sara Moussawi, Carnegie Mellon University

12:00 AM

Generating Outrage Through Data Bias: An Ethnographic Study

Anna Zaitsev, University of California, Berkeley

12:00 AM

Hate Me Not: Detecting Hate Inducing Memes in Code Switched Languages

Kshitij Rajput, Netaji Subhas University of Technology
Raghav Kapoor, Netaji Subhas University of Technology
Kaushal Rai, Netaji Subhas University of Technology
Preeti Kaur, Netaji Subhas University of Technology

12:00 AM

Identification of weights in multi-cteria decision problems based on stochastic optimization

Bartłomiej Kizielewicz, West Pomeranian University of Technology
Bartosz Paradowski, West Pomeranian University of Technology
Jakub Więckowski, West Pomeranian University of Technology
Wojciech Sałabun, National Institute of Telecommunications

12:00 AM

Let´s Do Our Bit: How Information Systems Research Can Contribute to Ethical Artificial Intelligence

Aycan Aslan, Chair of Information Management
Maike Greve, University of Goettingen
Tim-Benjamin Lembcke, University of Goettingen

12:00 AM

Reward-based Crowdfunding Success Prediction with Multimodal Data

Liqian Bao, University of Wisconsin Milwaukee
Zongxi Liu, University of Wisconsin Milwaukee
Huimin Zhao, University of Wisconsin Milwaukee

12:00 AM

The Impact of Computer Vision Systems on Value Proposition of Organizations

Sebastian Trinks, TU Bergakademie Freiberg

12:00 AM

Towards a Performance-explainability-fairness Framework for Benchmarking ML Models

Shuvro Chakrobartty, Dakota State University
Omar El-Gayar, Dakota State University

12:00 AM

Towards An Integrated Framework for Artificial Intelligence Governance

Brenda L. Eschenbrenner, University of Nebraska at Kearney
Fiona Nah, City University of Hong Kong
Keng Leng Siau, City University of Hong Kong
Langtao Chen, Missouri University of Science and Technology
Yuzhou Qian, University College London

12:00 AM

Towards ‘Lightweight’ Artificial Intelligence: A Typology of AI Service Platforms

Leif T. Sundberg, Umeå University
Jonny Holmström, Umeå University

12:00 AM

Use of Emotions in Fake Review Detection

Mehmet Akgul, McMaster University

12:00 AM

Using Explainable AI to Understand Bond Excess Returns

Lars Beckmann, University of Muenster
Jörn Debener, University of Muenster
Johannes Kriebel, University of Muenster

12:00 AM

What makes users reliant on the virtual assistant? The side effect of attachment

Hansol Lee, Texas Tech University
Yuan Jin, Texas Tech University
Jaeki Song, Texas Tech University

12:00 AM