Sonja Niemann
Researcher, bidt
Sonja Niemann is a Researcher at the bidt. She works on the bidt research focus “Humans and Generative Artificial Intelligence: Trust in Co-Creation”, specifically on code generation. She completed her Bachelor’s degree in Psychology at the Trier University and her Master’s degree in “Computing in the Humanities” at the University of Bamberg. During her master’s programme she put her focus on cognitive systems and AI.
The bidt at re:publica and TINCON
Researchers from the bidt were prominently represented at re:publica and TINCON with talks and panels on disinformation, AI in the classroom, digital generational silos, toxic entertainment and the political handling of authenticity.
Asking the right questions: Tips for better AI answers
How can you achieve better results with the right prompts? This article provides an overview of key terms, strategies and application examples relating to generative AI and language-based models.
Human-AI co-creation of code with different prior knowledge: Effects on performance and trust (pAIrProg)
The project explores the co-creation process of humans and AI in the context of creating program code by combining AI methods and approaches from experimental cognition research.
Publications
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Die richtigen Fragen stellen: Tipps für bessere KI-Antworten
Internet documenthttps://www.bidt.digital/die-richtigen-fragen-stellen-tipps-fuer-bessere-ki-antworten/Project: pAIrProg -
Für Lehrkräfte: KI ist nicht neutral – du kannst das ändern!
VortragProject: pAIrProg -
GenAI in Universities: Between Academic Freedom and Regulatory Chaos
VortragProject: AFFAIRE -
Muss man im Informatikstudium noch programmieren lernen?
VortragProject: pAIrProg -
Generative LLMs in Content Analysis: A Practical Workflow for Communication Research
VortragProject: KI-JOURNALISMUS