Monday 11 May

Outside Your Comfort Zone: Artificial Intelligence – Basic Concepts & Patenting

When and where

Date and time

Start: Monday 11 May 2020, 12:30 PM

End: Monday 11 May 2020, 01:30 PM

Event Overview

Artificial intelligence (AI) and its enabling dual machine learning (ML) are pervasive in technology and society and becoming more so by the day. To join the conversation about this patent attorneys need to know what AI and ML are, what is and is not possible today, where the challenges lie and what patent offices make of this technology. I will look at some basics of AI and ML and the current approach to patenting through the lens of the updated EPO guidelines. I will also touch on how AI might influence the future of patent law and issues that will be central in thinking about the impact of AI on society.


IP Paralegals, Students


Alexander Korenberg, Kilburn & Strode

Alexander Korenberg, Kilburn & Strode

Described as “Tech maestro with a solid grip on the legal aspects of patent prosecution and extremely technically savvy” (IAM Patent 1000, 2020), Alexander is known to “build futureproofed patent strategies in cutting-edge areas such as AI” (IAM Patent 1000, 2021) and as an “AI expert” (IAM Patent 2022) for his “technical prowess extend[ing] from AI through life science devices” (IAM Patent 2023). He is listed as one of the world’s leading IP Strategists in Intellectual Asset Management’s IAM Strategy 300 and have co-edited a book on IP Strategy for the boardroom, based on years of experience advising clients on how to make strategic choices in the wider business context. Alexander leads the firm’s AI practice and publishes a monthly newsletter on patenting AI.

Alexander holds an MSci in Physics from Imperial College and a PhD in Computational Neuroscience from University College London. His technical expertise in Artificial Intelligence (AI) and Machine Learning (ML), stems from his time as a graduate student at the Gatsby Computational Neuroscience Unit, a centre of excellence for computational and theoretical neuroscience and statistical machine learning. Before that, during his undergraduate degree, Alexander read molecular biophysics and medical physics and spent a year in Grenoble, France, working on protein crystallography and molecular simulations. With an academic background and practice at the intersection of physics, computer science and life sciences, Alexander is perfectly placed to protect innovation in this expanding cross-sector field of technology.

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