CEIPI Advanced Training on Artificial Intelligence and Intellectual Property (1st edition, 2018) (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.

9 Module 8 - AI and Patent Enforcement 9 Module 8 - AI and Patent Enforcement

9.1. 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)

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

9.3. 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

9.4. Philip Leith, The rise and fall of the legal expert system, 30(3) International Review of Law, Computers & Technology 107дус114 (2016)

Philip Leith, The rise and fall of the legal expert system, 30(3) International Review of Law, Computers & Technology 107дус114 (2016)

9.5. Maayan Perel, Niva Elkin-Koren, Accountability in algorithmic copyright enforcement, 19 Stanford Technology Law Review 473-533 (2016)

Maayan Perel, Niva Elkin-Koren, Accountability in algorithmic copyright enforcement, 19 Stanford Technology Law Review 473-533 (2016)

9.6. 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)