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Showing posts from October, 2018

Guest Lecture on "AI Patent Quality: Avoiding Flaws Inherent In Human-Performed Work" at Stanford Law

I would like to thank Jason Du Mont and his students for inviting me to speak today at Stanford Law on "AI Patent Quality: Avoiding Flaws Inherent In Human-Performed Work," as part of the Law, Science, and Technology LLM Colloquium. I was impressed by their thoughtful and challenging questions.

To summarize the presentation, most of what patent attorneys do today can be done better by machines using existing technology as applied to patent law. Because AI can optimize strategies based on tens of thousands of data points simultaneously, I believe AI will make better decisions, on average, than the human patent attorney counterparts. The underlying algorithms and technology might be ready to take us there, but the patent-specific tools are not yet fully developed. In the meantime, we can make use of as much data and stats-based analytics as possible. Based on wisdom gained from studies outside of patent law, I think we should defer decisions to AI or stats-based analytics when…