Graduate Studies Support Program
This workshop is part of the Graduate Studies Support Program of Berlin University Alliance. For an overview of all Graduate Studies Support Program events, click here.
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Objectives
This interdisciplinary workshop aims to raise awareness of structural inequalities, implicit bias, and power dynamics in academia, with a particular focus on the role of Artificial Intelligence. Participants learn to recognize how our understanding of neutrality shape research practices, collaboration, and technology development. The workshop encourages critical reflection on one’s own position within academic structures and fosters a deeper understanding of how AI can both reinforce and challenge discriminatory patterns.
Content
The workshop combines theoretical input, interactive activities, and practice- oriented reflection. Using case studies from various academic fields, participants
analyze mechanisms of exclusion, communication challenges, and the impact of disciplinary cultures. Tools such as the Implicit Association Test (IAT) are introduced to make unconscious biases visible and to discuss their methodological limits. Peer- learning sessions invite participants to connect these insights to their own experiences in research environments. A dedicated module addresses bias in AI systems, using live-prompting examples to explore how training data, algorithms, and language models can reproduce inequities – and what responsibilities researchers hold in this context.