My deep-dive into the literature on human-machine collaboration was the first Work Package competed for the Augmented-Humans project. This was a systematic literature review and was published at the European Conference of Information Systems (ECIS) in 2023.
A copy of the presentation I made at ECIS can be seen below, and I have provided the paper’s abstract and conclusion at the end of this post. Enjoy!
Citation
Raftopoulos, M., and Hamari, J., 2023. Human-AI Collaboration in Organizations: A Literature Review on Enabling Value Creation. The European Conference on Information Systems (ECIS) 2023 Research Papers. Kristiansand, Norway.
Abstract
The augmentation of human capability with artificial intelligence is integral to the advancement of next generation human-machine collaboration technologies designed to drive performance improvement and innovation. Yet we have limited understanding of how organisations can translate this potential into creating sustainable business value. We conduct an in-depth literature review of interdisciplinary research on the challenges and opportunities in organisational adoption of human-AI collaboration for value creation. We identify five research positions central to how organisations can integrate and align the socio-technical challenges of augmented collaboration, namely strategic positioning, human engagement, organisational evolution, technology development and intelligence building. We synthesise the findings into an integrated model that focuses organisations on building the requisite internal microfoundations for the systematic management of augmented systems.
Conclusions
Research into the next generation of augmented human and artificial intelligence is in the early stages of development, particularly in the specialised area of human-machine collaboration in complex environments. The field is challenged by research fragmentation, a lack of generalisability of results across research and application domains, systemic challenges with algorithmic models and limitations in machine learning training data, a lack of critical research on AI capability for value creation and pressing ethical challenges that have been inadequately addressed. The potential benefits of AI technologies are undeniable however they are still largely underdeveloped and require the maturity that more multidisciplinary approaches may provide. Research points to the reality that value-creation may be in the human, organisational and strategic ecosystems that supports and utilises AI technology rather than in the technology itself.
Funding Statement
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101023024 for Augmented-Humans.
Augmented Humans 