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.

7 Module 6 - AI-generated Inventions 7 Module 6 - AI-generated Inventions

7.1 Inventiveness and Ownership 7.1 Inventiveness and Ownership

7.1.1. Ana Ramalho, Patentability of AI-Generated Inventions: Is a Reform of the Patent System Needed? (February 15, 2018)

Ana Ramalho, Patentability of AI-Generated Inventions: Is a Reform of the Patent System Needed? (February 15, 2018)

7.1.2. Peter Blok, The inventor's new tool: artificial intelligence - how does it fit in the European patent system? 39(2) European Intellectual Property Review 69-73 (2017)

Peter Blok, The inventor's new tool: artificial intelligence - how does it fit in the European patent system? 39(2) European Intellectual Property Review 69-73 (2017)

7.1.3. Shlomit Yanisky-Ravid and Xiaoqiong Liu, When Artificial Intelligence Systems Produce Inventions: The 3A Era and an Alternative Model for Patent Law, Cardozo Law Review (forthcoming 2018)

Shlomit Yanisky-Ravid and Xiaoqiong Liu, When Artificial Intelligence Systems Produce Inventions: The 3A Era and an Alternative Model for Patent Law, Cardozo Law Review (forthcoming 2018)

7.1.4. Erica Fraser, Computers as Inventors дус Legal and Policy Implications of Artificial Intelligence on Patent Law, 13(3) Scripted (2016)

Erica Fraser, Computers as Inventors дус Legal and Policy Implications of Artificial Intelligence on Patent Law, 13(3) Scripted (2016)

7.1.5. Russ Pearlman, Recognizing Artificial Intelligence (AI) as Authors and Inventors Under U.S. Intellectual Property Law, 24(2) Rich. J. L. & Tech. 1 (2018)

Russ Pearlman, Recognizing Artificial Intelligence (AI) as Authors and Inventors Under U.S. Intellectual Property Law, 24(2) Rich. J. L. & Tech. 1 (2018)

7.1.6. Ryan Abbott, I Think, Therefore I Invent: Creative Computers and the Future of Patent Law, 57 B.C. L. Rev. 1079 (2016)

Ryan Abbott, I Think, Therefore I Invent: Creative Computers and the Future of Patent Law, 57 B.C. L. Rev. 1079 (2016)

7.1.7. Colin Davies, An evolutionary step in intellectual property rights дус Artificial intelligence and intellectual property, 27(6) Computer Law & Security Rev. 601-619 (2011)

Colin Davies, An evolutionary step in intellectual property rights дус Artificial intelligence and intellectual property, 27(6) Computer Law & Security Rev. 601-619 (2011)

7.2 Non-obviousness and Prior Art 7.2 Non-obviousness and Prior Art

7.2.1. Ryan Abbott, Everything is Obvious, 66 UCLA. L. Rev. 2 (2019)

Ryan Abbott, Everything is Obvious, 66 UCLA. L. Rev. 2 (2019)

7.2.2. Ben Hattenbach & Joshua Glucoft , Patents in an Era of Infinite Monkeys and Artificial Intelligence, 19 Stan. Tech. L. Rev. 32 (2015)

Ben Hattenbach & Joshua Glucoft , Patents in an Era of Infinite Monkeys and Artificial Intelligence, 19 Stan. Tech. L. Rev. 32 (2015)

7.2.3. All Prior Art Project

All Prior Art Project