Set in early 2023, the case exposes students to the challenges of managing open source software at Google. The case focuses on the challenges for Alex Spinelli, Vice President of Product Management for Core Machine Learning. He must set priorities for Google's efforts in open source communities. An important priority is the TensorFlow framework. Released by Google in 2014, it supports many advances in modern artificial intelligence and continues supporting it. Spinelli must also manage open source activities in additional areas, such as the Android operating system for mobile handsets and cloud computing. The choices and strategies have consequences for Google's position as a technological leader among programmers who use and write code and for the safety and transparency of the code Google uses and supports. The case frames questions about what, if anything, Google should change with the explosion of interest in generative AI.

It is fall 2022, and open-source AI model company Hugging Face is considering its three areas of priorities: platform development, supporting the open-source community, and pursuing cutting-edge scientific research. As it expands services for enterprise clients, which services should it prioritize? Will these projects be in line with Hugging Face's volunteer community? Further, Hugging Face decided to remove a model uploaded by a contributor, due to the potential harm the leadership felt it could propagate. Was it the right decision?