CEIPI Advanced Training on Artificial Intelligence and Intellectual Property (2nd Edition, 2019) (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.

1 Course Plan and Presentations 1 Course Plan and Presentations

1.1. AI & IP CEIPI Advanced Training Program

AI & IP CEIPI Advanced Training Program

1.2. Module I

Module I

1.3. Module I (MAC)

Module I (MAC)

1.4. Module II

Module II

1.5. Module III

Module III

1.6. Module IV

Module IV

1.7. Module IV (MAC)

Module IV (MAC)

1.8. Module V

Module V

1.9. Module VIII

Module VIII

1.10. Module IX

Module IX

1.11. Module X

Module X

1.12. Module XI(2)

Module XI(2)
H2O

CEIPI Advanced Training on Artificial Intelligence and Intellectual Property (2nd Edition, 2019) (Syllabus)

Giancarlo Frosio

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Table of contents

  1. 1

    Course Plan and Presentations

    1. 1.1

      AI & IP CEIPI Advanced Training Program

    2. 1.2

      Module I

    3. 1.3

      Module I (MAC)

    4. 1.4

      Module II

    5. 1.5

      Module III

    6. 1.6

      Module IV

    7. 1.7

      Module IV (MAC)

    8. 1.8

      Module V

    9. 1.9

      Module VIII

    10. 1.10

      Module IX

    11. 1.11

      Module X

    12. 1.12

      Module XI(2)

  2. 2

    Module 1 - Overview: History and Theory of AI Regulation

  3. 3

    Module 2 - AI and Copyright: Authorship

  4. 4

    Module 3 - AI and Copyright: Ownership and Infringement

  5. 5

    Module 4 - AI & Copyright: Automated Copyright Enforcement

  6. 6

    Module 5 - AI, Data and Big Data: Ownership and Protection

  7. 7

    Module 6 - Patenting AI

  8. 8

    Module 7 - AI-generated Inventions: Inventiveness and Ownership

  9. 9

    Module 8 - AI and Patent Enforcement

  10. 10

    Module 9 - AI, Trade Secrets, and Medical Innovation

  11. 11

    Module 10 - Autonomous Driving

  12. 12

    Module 11 - AI, DRM, Blockchain and Smart Contract

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