Understand the generative AI supply chain and the potential liability associated with each component (training data, model training, fine-tuning, deployment).
Get licenses for training data to mitigate risk.
Consider the downstream effects of your contributions to the supply chain, even if you are upstream (like creating a training dataset).
Be aware of the ongoing legal debate about whether training constitutes fair use, and exercise caution to avoid potential liability.
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Episode notes
At a recent conference co-hosted by Lawfare and the Georgetown Institute for Law and Technology, Fordham law professor Chinny Sharma moderated a conversation on "Old Laws, New Tech: How Traditional Legal Doctrines Tackle AI,” between NYU law professor Catherine Sharkey, Ohio State University law professor Bryan Choi, and NYU and Cornell Tech postdoctoral fellow Kat Geddes.