Artificial Intelligence (AI) is inextricably linked to knowledge and the management of knowledge. This paper highlights the ethical concerns related to the use of algorithms in the context of hybrid intelligence teams and the dimensions of knowledge asymmetry that exist. The research question motivating our paper is: How is knowledge asymmetry characterised in Human-AI Collaboration eliciting ethical concerns? We first present a brief overview of the literature on knowledge asymmetry and knowledge transfer. We then propose four scenarios of knowledge asymmetry in Human-AI Collaboration, based on real-world cases. Finally, we highlight the ethical concerns linked with each of these scenarios.

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