AI in Business and Society

Track Description
This track is concerned with how AI-based systems – their design, implementation, use, and subsequent evaluation – may be meaningful to organizations and/or society. As a forum, it provides scholars an opportunity to grapple with the complexity of AI technologies and the range of social phenomena and consequences at stake. We hope to see authors attend to a variety of important “outcomes”, beyond the effectiveness of the AI-based system for the developer or adopting corporation, and consider wide-ranging impacts on consumers, employees, and other stakeholders. This would include studies that focus on improving individuals’ lives in fundamental ways such as managing pandemics and health outcomes, addressing income inequality, dampening systemic racial biases, and engaging with climate crises.

Digital innovation using emerging technologies such as AI, machine learning, and analytics, depends on the ability to access, curate, and build models based on large data resources. This raises issues of data governance and stewardship and invites questions about facilitating access to and reuse of data for AI-enabled innovation. We welcome studies that address such emerging and thorny challenges by proposing innovative approaches to policy and organizational practices in designing, developing, and implementing AI systems.

Track Co-Chairs
Saeed Akhlaghpour, Ph.D., The University of Queensland
Michael Barrett, Ph.D., University of Cambridge
Sarah Lebovitz, Ph.D., University of Virginia

Schedule
2023
Monday, December 11th
12:00 AM

A Review of Challenges and Critiques of the European Artificial Intelligence Act (AIA)

Fanny Vainionpää, Interact Research Unit, University of Oulu
Karin Väyrynen, Interact Research Unit, University of Oulu
Arto Lanamaki, University of Oulu
Aayush Bhandari, Interact Research Unit, University of Oulu

12:00 AM

AI Affordance Actualisation: Empirical Evidence from Mobility Ecosystem Organisations

Mingye Li, RMIT University
Alemayehu Molla, RMIT University
Sophia Duan, RMIT University

12:00 AM

AI Plus Other Technologies? The Impact of ChatGPT and Creativity Support Systems on Individual Creativity

Yanda Tao, McGill University
Changseung Yoo, McGill University
Animesh Animesh, McGill University

12:00 AM

AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization

Dirk Leffrang, Paderborn University
Oliver Mueller, Paderborn University

12:00 AM

Algorithm-Human-Algorithm: A New Classification Approach to Integrating Judgemental Adjustments

Christopher Chen, Indiana University
Nitish Jain, London Business School
Varun Karamshetty, National University of Singapore

12:00 AM

ChatGPT Is A User-Generated Knowledge-Sharing Killer

Junzhi Xue, School of Management
Lizheng Wang, University of Science and Technology of China
Jinyang Zheng, Purdue University
yongjun li, University of Science and Technology of China
Yong Tan, University of Washington

12:00 AM

Collaborating with Generative AI: Exploring Algorithm Appreciation in Creative Writing

Corinna Vera Hedwig Schmidt, TU Dortmund University
Michael Guffler, TU Dortmund University
Bastian Kindermann, TU Dortmund University
Tessa Flatten, TU Dortmund University

12:00 AM

Dynamics and Impacts of Human-Algorithm Consensus in Logistics Scheduling: Evidence from A Field Experiment

Lingli Wang, Beijing University of Posts and Telecommunications
Ding Wu, School of Information Technology and Management
Nina Huang, University of Miami
Hongshuyu Deng, JD.com.Inc
Xiaotian Zhuang, JD.com.Inc

12:00 AM

Enhancing Perceived Fairness of AI-Based Personnel Selection Procedures: The Role of AI Certification

Romina Liza Kleiner, RWTH Aachen University
Nicole Janine Hartwich, RWTH Aachen University
David Antons, RWTH Aachen University

12:00 AM

Exploring the Role of AI Explanations in Delivering Rejection Messages: A Comparative Analysis of Organizational Justice Perceptions between HR and AI

Yuyang Tian, City University of Hong Kong
Marius Claudy, University College Dublin
David (Jingjun) Xu, City University of Hong Kong
Stephen Shaoyi LIAO, City University of Hong Kong

12:00 AM

Ghost in the Machine: Theorizing data knowledge in the Age of Intelligent Technologies

Panagiota Koukouvinou, Umeå University
Gemza Ademaj, Lund University
Saonee Sarker, Lund Universty
Jonny Holmström, Umeå University

12:00 AM

"Goodnight Alexa" – Theorising interactions between people with visual impairments and digital voice assistants

Shikha Shethia, Auckland University of Technology
Lena Waizenegger, Auckland University of Technology
Angsana A. Techatassanasoontorn, Auckland University of Technology

12:00 AM

How AI Developers’ Perceived Accountability Shapes Their AI Design Decisions

Sebastian Clemens Bartsch, Technical University of Darmstadt
Jan-Hendrik Schmidt, Technical University of Darmstadt

12:00 AM

How Does AI Fail Us? A Typological Theorization of AI Failures

Xinhui Zhan, University of Oklahoma
Heshan Sun, University of Oklahoma
Shaila M. Miranda, University of Oklahoma

12:00 AM

How Human-AI Collaboration Affects Attribution of Responsibility for Failure and Success

Nina Katharina Passlack, University of Bamberg
Teresa Heyder, University of Bamberg
Falco Klemm, University of Bamberg
Oliver Posegga, University of Bamberg

12:00 AM

Human or AI? Using Digital Behavior to Verify Essay Authorship

David Wilson, Brigham Young University
Parker Burnett, Brigham Young University
Joseph S. Valacich, University of Arizona
Jeff Jenkins, BYU

12:00 AM

Human-in-Control: A Human-Centered Model of Adaptation to AI Augmentation

Rania Afiouni, McGill University
Alain Pinsonneault, McGill University

12:00 AM

Identifying User Innovations through AI in Online Communities– A Transfer Learning Approach

Christian Resch, Technische Universität Darmstadt
Julian Streibel, Technische Universität Darmstadt
Tim Feiter, Technische Universität Darmstadt
Alexander Kock, Technische Universität Darmstadt

12:00 AM

Leveraging Interactions for Stationary and Dynamic Financial Distress Prediction: A Spatio-Temporal Financial Graph Attention Network

Qi Qi, National University of Singapore
Frank Xing, National University of Singapore

12:00 AM

“Look Closer” Anthropomorphic Design and Perception of Anthropomorphism in Conversational Agent Research

Stefan Greulich, Technische Universität Dresden
Hannes Schlieter, Chair of Wirtschaftsinformatik, esp. Systems Development

12:00 AM

Measuring Trustworthiness of AI Systems: A Holistic Maturity Model

Myriam Schaschek, Julius-Maximilians-University
Sarah Engel, Philipps University

12:00 AM

Navigating explainability: A comparative field study of how professionals explain AI-made decisions to clients

Anne Mayer, Vrije Universiteit Amsterdam
Elmira van den Broek, Stockholm School of Economics
Tomislav Karacic, Vrije Universiteit Amsterdam
Marleen Huysman, Vrije Universiteit Amsterdam

12:00 AM

Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support

Felix Haag, University of Bamberg
Carlo Stingl, University of Bamberg
Katrin Zerfass, University of Bamberg
Konstantin Hopf, University of Bamberg
Thorsten Staake, Otto-Friedrich Universität

12:00 AM

Who needs XAI in the Energy Sector? A Framework to Upgrade Black Box Explainability

Sarah Kristin Lier, Information Systems Institute
Jana Gerlach, Information Systems Institute, Leibniz Universität Hannover
Michael H. Breitner, Leibniz Universität Hannover

12:00 AM

Who Takes Responsibility for AI? A Field Study on AI-Related Task Shifts, Explainability, and Responsibility Attributions

Tamara Thuis, Erasmus University Rotterdam
Ting Li, Erasmus University
Eric van Heck, Erasmus University

12:00 AM