Generative Artificial Intelligence (GenAI) advances have led to new technologies that generate high-quality code, natural language, and images. The next step is to integrate GenAI technology is used in various aspects while conducting research or other related areas, a task typically conducted by researchers. Such research outcomes always come with a certain risk of liability. This paper sheds light on the various research aspects in which GenAI is used, thus raising awareness of its legal implications to novice and budding researchers. In particular, there are two risks: data protection and copyright. Both aspects are crucial for GenAI. We summarize key aspects regarding our current knowledge that every software researcher involved in using GenAI should be aware of to avoid critical mistakes that may expose them to liability claims and propose a checklist to guide such awareness.

Life is full of choices and I am at the juncture of my life where everything is moving and evolving very fast. It feels lucky to be researching in these amazing times. I am an Assistant Professor at the University of Calgary, Canada and Director of Software Hub for AnalytiKs, Technology and Innovation (S.H.A.K.T.I) lab (https://shaktilab.org/)and my area of research is Requirements Engineering, Software Engineering, Data analytics and Responsible Software Engineering.