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.
Alexander Korenberg is partner at Kilburn & Strode and holds and Msci in Physics from Imperial College London and a PhD in Computational Neuroscience from University College London. He specialises in high-tech and physics and has been called a “star choice” and “whip-smart” (IAM 1000, 2018). Alexander is appreciated for his "in-depth understanding of clients' portfolios and true technical expertise" (IAM Patent 1000, 2016) and "excellent business-oriented advice that is tailored to the size and strategy of the business" (MIP IP Stars, 2017). He is listed as one of the world's leading IP Strategists in Intellectual Asset Management's IAM Strategy 300. With his academic background, Alexander has particular expertise in Artificial Intelligence (AI) and Machine Learning (ML), having worked at the Gatsby Computational Neuroscience Unit (UCL), a centre of excellence for computational and theoretical neuroscience and statistical machine learning. An example of his contribution to thought leadership in this area is a recent article he wrote with James Nurton, formerly of Managing Intellectual Property, and industry players on where AI meets IP (see here: https://www.kilburnstrode.com/knowledge/technology/ai-meets-ip-the-patent-challenge)