CEIPI Advanced Training on Artificial Intelligence and Intellectual Property (4th Edition, 2021) (Syllabus)

  • Giancarlo Frosio (University of Turin, Nexa Center, Center for International Intellectual Property Studies, Stanford CIS)

This syllabus includes materials specifically designed for the CEIPI Advance Training Program on Artificial Intelligence and Intellectual Property. It is a resource aiming at blending together international, European and US legislation, case law, and doctrinal pieces. It is intended to be a resource that might serve as a reference for further in depth review of the topics touched upon during the training program. This syllabus is a work in progress and will be updated in due course.

11 Module 10 - AI and IP Administration 11 Module 10 - AI and IP Administration

11.1. Ryan Abbott, The Reasonable Robot: Artificial intelligence and the Law, Cambridge University Press (2020)

Ryan Abbott, The Reasonable Robot: Artificial intelligence and the Law, Cambridge University Press (2020)

11.2. Xavier Seuba, The Global Regime for the Enforcement of Intellectual Property Rights (CUP 2017)

Xavier Seuba, The Global Regime for the Enforcement of Intellectual Property Rights (CUP 2017)

11.3. Xavier Seuba, "Intellectual property enforcement, from concept to practice, in Xavier Seuba, The Global Regime for the Enforcement of Intellectual Property Rights (CUP 2017) 11-34

Xavier Seuba, "Intellectual property enforcement, from concept to practice, in Xavier Seuba, The Global Regime for the Enforcement of Intellectual Property Rights (CUP 2017) 11-34

11.4. WIPO Secretariat, WIPO Conversation on Intellectual Property (IP) and Artificial Intelligence (AI), May 2020

WIPO Secretariat, WIPO Conversation on Intellectual Property (IP) and Artificial Intelligence (AI), May 2020

11.5. USPTO, Public Views on Artificial Intelligence and Intellectual Property Policy, October 2020

USPTO, Public Views on Artificial Intelligence and Intellectual Property Policy, October 2020

11.6. Dev Gangjee, 'Eye, Robot: Artificial Intelligence and Trade Mark Registers' in N. Bruun, G. Dinwoodie, M. Levin & A. Ohly (ed), Transition and Coherence in IP Law (CUP 2020)

Dev Gangjee, 'Eye, Robot: Artificial Intelligence and Trade Mark Registers' in N. Bruun, G. Dinwoodie, M. Levin & A. Ohly (ed), Transition and Coherence in IP Law (CUP 2020)

11.7. Sonia Katyal and Aniket Kesari, ‘Trademark Search, Artificial Intelligence and the Role of the Private Sector’ (2021) 35(2) Berkeley Tech LJ 501

Sonia Katyal and Aniket Kesari, ‘Trademark Search, Artificial Intelligence and the Role of the Private Sector’ (2021) 35(2) Berkeley Tech LJ 501

11.8. Anke Moerland and Conrado Freitas, ‘Artificial Intelligence and Trade Mark Assessment’ in Hilty, Liu & Lee (eds.), Artificial Intelligence & Intellectual Property (OUP, 2020) 266

Anke Moerland and Conrado Freitas, ‘Artificial Intelligence and Trade Mark Assessment’ in Hilty, Liu & Lee (eds.), Artificial Intelligence & Intellectual Property (OUP, 2020) 266

11.9. Yotaro Okazaki, Implications of Big Data for Customs - How It Can Support Risk Management Capabilities, WCO, 2017

Yotaro Okazaki, Implications of Big Data for Customs - How It Can Support Risk Management Capabilities, WCO, 2017

11.10. Philip Leith, The rise and fall of the legal expert system, 30(3) Int'l Review of Law, Computers & Technology 107-114 (2016)

Philip Leith, The rise and fall of the legal expert system, 30(3) Int'l Review of Law, Computers & Technology 107-114 (2016)

11.11. Kate Crawford, Jason Schultz, J., Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harms, 55 Boston College of Law Review 93-128 (2014)

Kate Crawford, Jason Schultz, J., Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harms, 55 Boston College of Law Review 93-128 (2014)