AI Literacy in Research: Practical Application & Critical Assessment
This talk is designed for researchers and students to navigate the rapidly evolving landscape of Artificial Intelligence. Moving beyond theory, we focus on practical „AI Literacy“: how to effectively use Large Language Models (LLMs) as sparring partners for brainstorming, structuring, and refining texts, while maintaining rigorous scientific standards.
You will learn:
- Prompt Engineering: How to craft precise prompts to get reliable results.
- Critical Evaluation: How to identify „hallucinations,“ bias, and fabricated sources.
- Ethical Guidelines: Understanding data privacy, transparency requirements, and proper citation practices according to university regulations.
This session is ideal for anyone looking to integrate AI tools into their workflow responsibly and efficiently. No prior technical expertise is required.