AI as an Inventing Tool — Its Implications for Patent Law and Policy

Virtual / Zoom

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General CLE Credit Available

With the remarkable progress of deep-learning-based AI, we are witnessing a paradigm shift in the inventing process itself. A good example is AlphaFold’s accurate prediction of 3D structure of proteins, and the subsequent application of its descendants to drug discovery. For the first time in history of human inventions, a tool is capable of predicting a definite and permanent solution, if the problem space has been properly defined. While this new synergy between human researchers and machine (AI) is likely to unleash unprecedented potential in the innovative economy, it may pose challenges to various patent law doctrines, including inventorship, novelty, non-obviousness, enablement and written description. In dealing with these doctrinal challenges, a holistic approach undergirded by deeper principles is in dire need. Meanwhile, AI can also be used as a useful tool to promote fair access to the patent system. This half-day conference invites several AI technologists and pioneering legal scholars to share their insights on these important issues.


Ali Alemozafar(opens in a new tab)
Partner, Wilson Sonsini
Prof. Dennis Crouch(opens in a new tab)
University of Missouri School of Law
Ali Madani, PhD(opens in a new tab)
CEO, Profluent
Prof. Keith Robinson(opens in a new tab)
Wake Forest University School of Law
Prof. Colleen Chien
BCLT, Berkeley Law
Yuan Hao, PhD(opens in a new tab)
BCLT, Berkeley Law
Prof. Robert Merges(opens in a new tab)
BCLT, Berkeley Law
Calvin Chin(opens in a new tab)
Founding Partner, E14 ventures
Prof. Peter Lee(opens in a new tab)
UC Davis Law
Nalini Mummalaneni(opens in a new tab)

If you require an accommodation for effective communication (ASL interpreting/CART captioning, alternative media formats, etc.) to fully participate in this event, please contact Justin Do at with as much advance notice as possible and at least 14 business days in advance of the event.

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