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| Sunday, December 14th | ||
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Accountability in Autonomous Drone-Based Firefighting: Insights From a Field Trial Dzmitry Katsiuba, University of Zurich
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| 12:00 AM |
Algorithmic Harm in Human-AI Relationships: Narcissistic Entrapment Vitor Lima, ESCP Business School
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| 12:00 AM |
Jisu Cao, Arizona State University
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| 12:00 AM |
Cultural Artifacts, Tribal Heterogeneity, and Language Models Kezia Oketch, University of Notre Dame
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| 12:00 AM |
Manon Berney, Institute for Information Management
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| 12:00 AM |
Invisible Paternalism in Agentic IS: Rethinking Autonomy in the Design of AI-based Support Cristina A. Mihale-Wilson, Goethe University Frankfurt
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| 12:00 AM |
Navigating the Complexities of Organizational Knowledge Management in the Age of Generative AI Belinda Yichen Wang, The University of Sydney
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| 12:00 AM |
Pursuing Growth and Mission: Distinct Scaling Strategies of Mission-Driven Digital Platforms Lea Kuhlmann, OFFIS e. V.
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| 12:00 AM |
Kaveh Abhari, San Diego State University
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| 12:00 AM |
Role of Data in Responsible Digital Transformation Ariful Islam, University of Jyväskylä
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| 12:00 AM |
The Role of Online Platforms in Doxing: An Actor-Network Theory Perspective Daniel Stäcker, Technical University of Darmstadt
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| 12:00 AM |
Walking the AI Talk: AI Washing and Data Breach Risks Soyoung Jun, University of Georgia
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| 12:00 AM |
When AI Gets It Wrong: User Contestation and the Attribution of Error Mati Ur Rehman, Iowa State University
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Track Chairs
Cheng Suang, Ph.D., National University of Singapore
Anne-Françoise Rutkowski, Ph.D., Tilburg University
Anjana Susarla, Ph.D., Eli Broad College of Business, MSU
Track Description
Information Systems (IS) play a crucial role in shaping organizational practices, societal values, and individual experiences. As IS becomes more integrated into everyday life, it is vital to explore the complex intersections of technology, ethics, and social responsibility. This raises important questions, such as how IS can bridge or exacerbate digital diversity, inclusivity, and equity. A responsible design approach that prioritizes equitable access is essential. Ethical considerations in IS extend beyond innovation, as organizations face challenges in balancing technological advancement with responsibility. Leaders must manage workplace transitions carefully to ensure that automation benefits society rather than deepening economic divides. While open-source software fosters collaboration, it also presents ethical risks when accountability is unclear, complicating responsible IS development. Similarly, the rise of AI and machine learning technologies adds complexity, as they can both support and undermine ethical IS practices. Further inquiries include how IS can promote responsible consumerism and protect user agency in data-driven environments. Privacy and information security are increasingly threatened in a world where data and innovation can be weaponized by autocratic regimes or misused by corporations. This makes it crucial for regulatory frameworks and organizational leadership to work together in fostering accountability and social responsibility. The dilemma of AI-driven decision-making, where questions of accountability and transparency arise, is another pressing concern. As automation reshapes work, fears about deskilling and job displacement grow. As IS continues to evolve, lessons from unethical practices and interdisciplinary perspectives are essential in shaping responsible IS frameworks. Continuously revisiting these ethical concerns will help ensure that technology enhances innovation while upholding human values and societal well-being.