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.

3 Module 2 - AI, Data and Big Data: Ownership and Protection 3 Module 2 - AI, Data and Big Data: Ownership and Protection

3.1. Ryan Calo, Peeping HALs: Making Sense of Artificial Intelligence and Privacy, 2(3) European Journal of Legal Studies 168-192 (2010)

Ryan Calo, Peeping HALs: Making Sense of Artificial Intelligence and Privacy, 2(3) European Journal of Legal Studies 168-192 (2010)

3.2 Text and Data Mining 3.2 Text and Data Mining

3.2.1. Christophe Geiger, Giancarlo Frosio, Oleksandr Bulayenko, The Exception for Text and Data Mining (TDM) in the proposed Directive on Copyright in the Digital Single Market: Legal Aspect, In-Depth Analysis for the Directorate-General for Internal Policies of the Union, Policy Department Citizens Rights and Constitutional Affairs, European Parliament, PE 604.941 (February 2018)

Christophe Geiger, Giancarlo Frosio, Oleksandr Bulayenko, The Exception for Text and Data Mining (TDM) in the proposed Directive on Copyright in the Digital Single Market: Legal Aspect, In-Depth Analysis for the Directorate-General for Internal Policies of the Union, Policy Department Citizens Rights and Constitutional Affairs, European Parliament, PE 604.941 (February 2018)

3.2.2. Andres Guadamuz and Diane Cabell, Data Mining in UK Higher Education Institutions: Law and Policy, 4(1) Queen Mary Intellectual Property Review 3-29 (2014)

Andres Guadamuz and Diane Cabell, Data Mining in UK Higher Education Institutions: Law and Policy, 4(1) Queen Mary Intellectual Property Review 3-29 (2014)

3.2.3. Maarteen Truyens, Patric Van Eecke, "Legal aspects of text mining", 30(2) Computer Law & Security Review 2182 (2014).

Maarteen Truyens, Patric Van Eecke, "Legal aspects of text mining", 30(2) Computer Law & Security Review 2182 (2014).

3.3 General Data Protection Regulation (GDPR) 3.3 General Data Protection Regulation (GDPR)

3.3.1. EU GDPR Portal

EU GDPR Portal

3.3.2. Is There A "Right To Explanation" for Machine Learning in the GDPR?

Is There A "Right To Explanation" for Machine Learning in the GDPR?

3.3.3. Lilian Edwards and Michael Veale, Slave to the Algorithm? Why a 'Right to an Explanation' Is Probably Not the Remedy You Are Looking For, 16 Duke Law & Technology Review 18 (2017).

Lilian Edwards and Michael Veale, Slave to the Algorithm? Why a 'Right to an Explanation' Is Probably Not the Remedy You Are Looking For, 16 Duke Law & Technology Review 18 (2017).

3.4. Michael Kearns, Data Intimacy, Machine Learning, and Consumer Privacy (Penn Law CTIC Research Paper, 2018)

Michael Kearns, Data Intimacy, Machine Learning, and Consumer Privacy (Penn Law CTIC Research Paper, 2018)