The group of female AI researchers will address the question of how human-AI teaming can evolve beneficially over time within organizations. This involves understanding the psychological and social dynamics involved in human-AI collaboration, such as trust, team cohesion, and shared mental models. We will explore how these dynamics change over time and how they can be predicted and explored through research design choices.
We will use scenario techniques to work on potential future scenarios of human-AI teaming in the workplace. This will involve analyzing the temporal dynamics of AI implementation in work teams, focusing on the evolution of trust, team cohesion, and shared mental models. We will also discuss normatively desirable and potentially conceivable visions of human-AI teaming in the future.
This „women-in-AI“ group aims to produce a joint publication in an international journal, outlining a shared research agenda and practical design recommendations for human-AI teaming. The workshop will also serve as an incubator for an ongoing research group through third-party funding, with the goal of applying for a DFG-funded „Wissenschaftliches Netzwerk“. The group’s ultimate goal is to contribute to the development of collaboration with AI that is not only efficient but also aligned with societal values, ethical standards, and the psychological needs of human workers.
Main research areas
- Human-AI Teaming
- Technology Implementation
- Work Design