Generative AI is increasingly applied in research and can support the implementation of FAIR and open research practices. But when AI models, infrastructures and tools themselves are closed systems, they fail to conform to good research practices and principles of Open Science such as trans­parency, accountability and reproducibility. This talk gives an overview of what openness can mean in the context of AI and the benefits and possibilities of open AI infrastructures for research practices. We will also give hands-on insights into specific ways to access and work with open (source) AI.

Open Engagement with societal stakeholders is one of the four pillars of the UNESCO Recommendation on Open Science. The Berlin University Alliance Participatory Research Map maps over 90 projects in which researchers collaborate with societal stakeholders. With the Participatory Research Map, we not only want to increase the visibility of participatory research but also explore how different stakeholders and research modes contribute to open science and open knowledge generation. In this event, we will present the results of our analysis and discuss with participants how we can collaboratively contribute to magnifying openness in engaging with societal stakeholders.