AI in Business and Society
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
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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 12:00 AM |
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12:00 AM |
AI Affordance Actualisation: Empirical Evidence from Mobility Ecosystem Organisations Mingye Li, RMIT University 12:00 AM |
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12:00 AM |
Yanda Tao, McGill University 12:00 AM |
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12:00 AM |
AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization Dirk Leffrang, Paderborn University 12:00 AM |
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12:00 AM |
Algorithm-Human-Algorithm: A New Classification Approach to Integrating Judgemental Adjustments Christopher Chen, Indiana University 12:00 AM |
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12:00 AM |
ChatGPT Is A User-Generated Knowledge-Sharing Killer Junzhi Xue, School of Management 12:00 AM |
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12:00 AM |
Collaborating with Generative AI: Exploring Algorithm Appreciation in Creative Writing Corinna Vera Hedwig Schmidt, TU Dortmund University 12:00 AM |
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12:00 AM |
Lingli Wang, Beijing University of Posts and Telecommunications 12:00 AM |
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12:00 AM |
Romina Liza Kleiner, RWTH Aachen University 12:00 AM |
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12:00 AM |
Yuyang Tian, City University of Hong Kong 12:00 AM |
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12:00 AM |
Ghost in the Machine: Theorizing data knowledge in the Age of Intelligent Technologies Panagiota Koukouvinou, Umeå University 12:00 AM |
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12:00 AM |
Shikha Shethia, Auckland University of Technology 12:00 AM |
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12:00 AM |
How AI Developers’ Perceived Accountability Shapes Their AI Design Decisions Sebastian Clemens Bartsch, Technical University of Darmstadt 12:00 AM |
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12:00 AM |
How Does AI Fail Us? A Typological Theorization of AI Failures Xinhui Zhan, University of Oklahoma 12:00 AM |
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12:00 AM |
How Human-AI Collaboration Affects Attribution of Responsibility for Failure and Success Nina Katharina Passlack, University of Bamberg 12:00 AM |
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12:00 AM |
Human or AI? Using Digital Behavior to Verify Essay Authorship David Wilson, Brigham Young University 12:00 AM |
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12:00 AM |
Human-in-Control: A Human-Centered Model of Adaptation to AI Augmentation Rania Afiouni, McGill University 12:00 AM |
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12:00 AM |
Identifying User Innovations through AI in Online Communities– A Transfer Learning Approach Christian Resch, Technische Universität Darmstadt 12:00 AM |
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12:00 AM |
Qi Qi, National University of Singapore 12:00 AM |
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Stefan Greulich, Technische Universität Dresden 12:00 AM |
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12:00 AM |
Measuring Trustworthiness of AI Systems: A Holistic Maturity Model Myriam Schaschek, Julius-Maximilians-University 12:00 AM |
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12:00 AM |
Anne Mayer, Vrije Universiteit Amsterdam 12:00 AM |
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12:00 AM |
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support Felix Haag, University of Bamberg 12:00 AM |
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12:00 AM |
Who needs XAI in the Energy Sector? A Framework to Upgrade Black Box Explainability Sarah Kristin Lier, Information Systems Institute 12:00 AM |
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12:00 AM |
Tamara Thuis, Erasmus University Rotterdam 12:00 AM |