Patenting AI: Why, What and How? - Dr. Alexander Korenberg

Dr. Alexander Korenberg “specialises in implementing truly transformative patent strategies across a range of fields, from artificial intelligence to cloud services” (IAM 1000, 2019)” and has been called a “star choice” and “whip-smart” (IAM 1000, 2018). Clients have described him as an “exceptional attorney who we trust to handle our IP matters” (Chambers and Partners, 2014) and as “very competent and easy to deal with” (MIP Handbook, 2012). He 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). Fluent in German and French, he is “the perfect partner for clients seeking pan-European protection” (IAM Patent 1000, 2017).

More than 80% of the value of companies worldwide is made up of intangible assets, largely intellectual property. Global trade in IP licencing alone is worth £600 Billion. When thinking about technology, this often means patents. Patents turn innovation into tradeable assets and protect investment in R&D. This means companies can realise the value they create, interact more freely with other players once protection is on the way and share information more freely. On the other hand, patents have received some bad press recently. What, then are the factors to consider? We will look at why patenting can be a good idea (and why sometimes this is not the case); what can be patented in the field of computer science and specifically artificial intelligence and machine learning; and how you would go about deciding whether an innovation may be worth patenting. We will also look at different ways that patents can be used.

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IARAI | Institute of Advanced Research in Artificial Intelligence
www.iarai.org

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