AI and Research Work - Useful learning materials
On this page, we are collecting learning materials related to the use of AI in research. With AI, we mean popularised generative artificial intelligence tools, like ChatGPT, which do not require actual coding or knowledge of machine learning.
There are two perspectives taken into account in these learning materials:
- Practical tips: understanding the basics behind generative AI with Large Language Models (LLMs), and how to use LLMs in the various stages of the research lifecycle
- Responsible conduct of research: how to use these novel tools in a responsible way, considering research ethics as well as data protection.
Materials
- The presentation is targeted at researchers with no background on AI, computer science topics, and other technical matters. If your level is more advanced, see the external materials below.
- Recording:
- The list of FAQs also has insights for more advanced users. You can submit improvements as comments.
- Handbooks:
- AI in research work (in preparation)
If you have tips on how to improve these open learning materials, please contact us at researchdata@aalto.fi.
External references
- (target audience: everyone)
- (audience: anyone with no previous knowledge of AI)
- (target audience: data scientists and those who like to see what's under the hood)
Related content
Responsible use of Artificial Intelligence in the research process
How to ensure research integrity and responsible conduct of research when using AI? How should we interpret the concepts such as reproducibility; bearing responsibility on the correctness of the results presented; respecting the authorship of others, and data protection?
Guidance for the use of artificial intelligence in teaching and learning at Aalto University
Guidance for the use of artificial intelligence in teaching and learning at Aalto University.
Data Agents
Meet your Data Agents — researchers offering hands-on support on data management.
