Ceteris-paribus, i.e for the same amount of "application risk", an open source model should actually be a less risky position than a proprietary model. Even mor

Ceteris-paribus, i.e for the same amount of "application risk", an open source model should actually be a less risky position than a proprietary model. Even more so if the dataset on which it was trained is also public. But on the other hand, being open source does not by itself negate the risks emerging when applying models in sensitive domains. So if played right, open source AI should have a regulatory edge. But not a free pass.