Generative AI and literature search

DTU Library offers training on how generative AI and AI-assisted search tools can support literature searching, research planning, and evidence discovery while maintaining academic quality and research integrity. 

Participants will learn how to: 

• use AI tools to explore research topics, concepts, and search terms 
• combine AI-assisted searching with databases such as DTU Findit, Web of Science, Scopus, PubMed, and IEEE Xplore 
• compare traditional search methods with AI-powered research tools such as Scite, Elicit, Consensus, ResearchRabbit, Litmaps, and Perplexity 
• develop transparent and reproducible search strategies 
• critically evaluate AI-generated results and reference findings 
• understand limitations such as hallucinations, bias, and incomplete coverage 
• apply principles of academic integrity, transparency, and responsible AI use 
• discussing prompting, best tools for specific purposes and how to avoid pitfalls. 

The sessions will be designed to match the discipline-specific topics.

DTU Library promotes a practical and critical approach
AI can support the research process, but it does not replace scholarly expertise, academic databases, or critical evaluation.