This Nature Masterclasses webinar explores:
Artificial intelligence can support researchers at many stages of experimentation, from collecting data to developing models, recognising patterns and troubleshooting problems. Used well, it can save time and open up new ways of working. However, reliable analysis still depends on sound research design, well-managed data and a clear analytical plan. AI cannot compensate for fundamental flaws in a study or turn poor-quality data into reliable evidence.
The challenge for researchers is knowing where AI adds genuine value and how to use it responsibly. How can they verify its outputs and manage risks such as bias, data privacy and security, and conclusions that go beyond the evidence?
In this webinar, you’ll learn from distinguished panellists with expertise in AI research, editorial practice and policy. They will examine the role of AI across data preparation, analyses, interpretation and visualisation. They will offer practical guidance and explain where human judgement and subject expertise remain essential. Whether you are new to AI or already using it in your work, the webinar will help you make more informed decisions about its role in your research.
You will have the opportunity to submit your own questions when you register. Please keep them relevant to analysing and interpreting research data with assistance from AI. Covered topics will help you to: