[AISWorld] Final Call for Papers ECIS 2023 - Track '“Human-AI Collaboration: Challenges and Opportunities”

[Dina Koutsikouri]

== CALL FOR PAPERS ==

Track “Human-AI Collaboration: Challenges and opportunities” (https://ecis2023.no/submissions/track-descriptions/?track=haico)

31st European Conference on Information Systems (ECIS 2023)
Conference theme: Co-Creating Sustainable Digital Futures
June 11-16, 2023, Kristiansand, Norway https://ecis2023.no/submissions/call-for-papers/

=== Track Chairs ===

        • Dina Koutsikouri, Gothenburg University, Sweden, dina.koutsikouri at ait.gu.se<mailto:dina.koutsikouri at ait.gu.se><mailto:dina.koutsikouri at ait.gu.se<mailto:dina.koutsikouri at ait.gu.se>>
        • Lauran Waardenburg, IESEG School of Management France, l.waardenburg at ieseg.fr<mailto:l.waardenburg at ieseg.fr><mailto:dina.koutsikouri at ait.gu.se<mailto:dina.koutsikouri at ait.gu.se>>
        • Lena Hylving, Oslo University, Norway, lenaandr at ifi.uio.no<mailto:lenaandr at ifi.uio.no><mailto:lenaandre at ifi.uio.no>

=== Track Description ===

As intelligent agents rapidly advance and become more ubiquitous, we need to explore these new dimensions of human-machine collaboration. In addition, to thoroughly understand how humans can collaborate successfully with increasingly intelligent systems we need rich concepts and theories at our disposal. The emergence of new terms and categories is essential in this regard. An illustrative example is the difference between the concepts of digitization and digitalization. While digitization refers to the conversion of physical information to digital, digitalization reflects the socio-technical process by which digital technology is leveraged to achieve digital transformation. Similarly, the ontology for digital technology is based on engineering rationality with rigid categories which are possible to measure and predict. What is missing is a rich conceptual foundation according to which it is possible to explain and fruitfully discuss the complexity of the digital (i.e., the AI artefact) and ‘what it means to be human’. There is little knowledge and approaches to guide professionals involved with developing AI tools and solutions in relation to what is distinctly seen as human capability, and the importance of capacities in the human domain (e.g., interpersonal skills, judgment).

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 human-AI collaboration. Specifically, we encourage papers that explore the relationship between the human and the digital as well as how human and machine collaboration are developed and implemented in organizations. 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.
Topics for this track include, but are not limited to the following:

  *   Un/intended consequences of ‘human-in-the-loop’ configuration?
  *   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 does the use of AI affect decision-making in various work contexts (e.g., extreme environments such as emergency services, military)?
  *   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
  *   What are the preconditions for scaling human-AI collaboration?
  *   Human collaboration with artificial agents and intelligent systems / New dimensions of human-machine collaboration
  *   AI-driven work augmentation
  *   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

IMPORTANT DATES
Paper submission deadline: November 17, 2022, 23:59 CET (Central European Time)
Notification of (conditional) acceptance: February 28, 2023

We look forward to your submissions!
Dina, Lauren and Lena


Dina Koutsikouri, PhD

Associate Professor
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/