AI for Scientists

Artificial intelligence is rapidly transforming the landscape of academic research. From brainstorming to evaluating calls, optimizing workflows and getting feedback to texts, AI offers powerful tools. But it also raises critical, ethical, and methodological questions.

This interdisciplinary workshop introduces researchers to responsible, effective AI use in academia. Participants will explore practical applications of AI, including Large Language Models, smart research tools for literature, while engaging in critical reflection on bias, transparency, and intellectual property. The goal is to empower participants from all fields to integrate AI meaningfully and ethically into their scientific workflows.

Programm

 AI basics in the academic context

• Overview: AI in research
• Opportunities and limits of current AI tools
• Risks and bias

Copyright, authorship and AI related privacy principles

• Statement of the DFG (Deutsche Forschungsgemeinschaft)
• European guidelines
• AI and GDPR in AI use: How to protect data

How to use AI in research

• AI-tools for scientists
• Effective prompts
• Avoiding misinformation and hallucinations

Where to apply

• Brainstorming and developing a research question
• Evaluating calls
• AI-assisted literature research
• Working with data
• Getting feedback to texts

Language: German  or English as needed