Open-source AI models have gone from niche developer tools to enterprise essentials almost overnight — but with that explosive adoption comes a legal minefield that organizations are only beginning to navigate.
This webinar will explore the key drivers behind the rapid rise of open-source AI, including cost accessibility, transparency, customizability, and the growing distrust and data leakage issues with black-box proprietary systems, while examining why businesses of every size are integrating these models into their core operations. It will also unpack the complex and evolving legal challenges that accompany open-source AI use, including intellectual property and copyright exposure from training data and model outputs, the patchwork of open-source licensing frameworks and compliance obligations and the growing tension between "open" AI and regulatory accountability. Whether you are in-house counsel, a compliance officer, or a legal practitioner advising clients on AI adoption, this session will equip you with the practical legal framework you need to harness the power of open-source AI — without exposing your organization to unnecessary risk.
Learning Objectives:
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