[AISWorld] CfP [ECIS2025] Track 4 Human-AI Collaboration

[Dina Koutsikouri]

CFP ECIS2025 – Human-AI Collaboration

We cordially invite you to submit your completed (16 pages) or short papers (8 pages) to the track “Human-AI Collaboration” at the 33rd European Conference on Information Systems (ECIS 2025) held in Amman, Jordan (https://ecis2025.eu/submissions/call-for-papers/).

Track description (Track 4): https://ecis2025.eu/track-descriptions/#toggle-id-4

IMPORTANT DATES
Paper submission deadline: November 17, 2024
Notification of (conditional) acceptance: February 28, 2025
Main conference: June 16-18, 2025

Our motivation for this track is to shine new light on the challenges and opportunities posed by the increasing complexity in the practice and context of organizing for and developing human-AI collaboration. Specifically, we encourage papers that explore the relationship between the human and the digital, and how human and machine collaboration are developed and implemented in organizations. Why do human-AI collaboration succeed and fail? When and where should systems rely on human problem solving? Such understanding is needed to empirically investigate the potential and unintended consequences of implementing and using AI in organizations as well as generating novel perspectives on understanding and theorizing the human and the digital.

We welcome both conceptual and empirical contributions using different methodological approaches (qualitative, quantitative, design-oriented, phenomenology etc).

Topics of interest include, but are not limited to:
• Socio-technical challenges of human–AI collaboration.
• Un/intended consequences of ‘human-in-the-loop’ configurations.
• Integration of AI developers’ domain knowledge when developing AI systems.
• Reasoning and planning with humans and machines in the loop.
• Fairness and ethical decision-making in AI development.
• New forms of interdisciplinary collaboration.
• Empirical cases that demonstrate how human intelligence (e.g., interpersonal skills and judgment) can improve AI systems, and vice versa.
• How the use of AI affects decision-making in various work contexts (e.g., extreme environments such as emergency services, military).
• How AI is altering the nature of work, including how people make judgements, decisions, and create knowledge.
• Management of AI systems for a better society (beyond economic imperatives such as sustainability and safety, realizing social benefits and possibilities for AI) / Possibilities to craft Human-AI configurations to serve humanity.
• Preconditions for scaling human-AI collaboration.
• Human collaboration with artificial agents and intelligent systems / New dimensions of human-machine collaboration.
• AI-driven work augmentation.
• AI-enabled transformation of organizational processes
• Role of judgment in human-AI work/decision-making.
• Critical perspectives on human-AI interactions.
• Design principles for digital practices integrating human and artificial intelligence.
• Human-AI collaboration and beyond.

TRACK CHAIRS
Dina Koutsikouri, University of Gothenburg, Sweden. dina.koutsikouri at ait.gu.se<mailto:dina.koutsikouri at ait.gu.se>
Lauren Waardenburg, ESSEC Business School, France. waardenburg at essec.fr<mailto:waardenburg at essec.fr>
Lena Hylving, University of Oslo, Norway. lenaandr at ifi.uio.no<https://ecis2025.eu/track-descriptions/lenaandr@ifi.uio.no>

Please feel free to contact the track chairs if you have any questions. Looking forward to your submissions.


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Dina Koutsikouri, PhD
Associate Professor in Information Systems
Program Coordinator for Human-Centered Artificial Intelligence master’s program
Division of Informatics
Department of Applied IT

University of Gothenburg
Forskningsgången 6, 417 56 Gothenburg, Sweden
Mobile: +46 (0)7239 71253

www.ait.gu.se<https://www.gu.se/tillampad-informationsteknologi>
https://scdi.se/researchers/dina-koutsikouri/