  The different sets of regulations existing for differ-ent agencies within the
government make the task of creating AI enabled solutions in government
dif-ficult. Regulatory restrictions inhibit sharing of da-ta across different
agencies, which could be a significant impediment to training AI models. We
discuss the challenges that exist in environments where data cannot be freely
shared and assess tech-nologies which can be used to work around these
challenges. We present results on building AI models using the concept of
federated AI, which al-lows creation of models without moving the training data
around.
