Scientists are exploring the use of generative artificial intelligence for a number of tasks both general to the scientific process and specific to different disciplines: hypothesis generation, literature review, peer review, and software production. This grant supports a study of the latter by University of Michigan researcher Elle O’Brien, focusing on how individual scientists and scientific groups/labs are adopting and deploying Generative Artificial Intelligence products and services when collaboratively coding and developing scientific software. The three-phase research design will begin with qualitative interviews and observations, followed by a survey and set of ethnographic case studies. O’Brien will document the current use of Generative Artificial Intelligence in scientific software production broadly, as well as focus on specific practices such as verifying code and translating from one programming language to another, exploring themes of trust and collaboration.