Course description
Assuming a working knowledge of IP law and practice, this course will explore the extent to which ‘genuinely’ AI-created works and AI-devised inventions may presently be able to attract IP protection in the UK.
Presenter Richard Hodgson will also consider the issue of liability for infringement by using AI-generated content and, ideally, the need for due diligence before using such content.
Other topics to be covered include current IPO practice, the differences between a ‘genuinely’ AI generated work and a computer generated work, the benefit of record keeping for any project that might result in an arguably AI created work or devised invention, and much more.
Upcoming start dates
Outcome / Qualification etc.
Training Course Content
Introduction
Assuming a working knowledge of IP law and practice, this special five-hour course will consider in particular:
- The extent to which ‘genuinely’ AI-created works and AI-devised inventions may presently be able to attract IP protection in the UK
- Liability for infringement by using AI-generated content (text, images, sound, etc.) and, ideally, the need for due diligence before using such content
What You Will Learn
This course will cover the following:
- What is an AI generated work or invention in practice?
- The differences between a ‘genuinely’ AI generated work and a computer-generated work (‘CGW’). Making effective use of the grey area between them for IP purposes
- The apparent reasons for denying IP protection in certain circumstances under present UK law and practice. The December 2023 decision in Thaler v Comptroller-General of Patents, Designs and Trade Marks - how wide might this Supreme Court’s decision be?
- Present UK IPO practice
- The major copyright issue of training by AI engines. Identifying if a work may have been trained by an AI-generative company. Ways to minimise a work from being trained?
- Liability for Infringement - if an AI-generated work or invention were an infringing one, who could be liable? A matter of concern following the success of AI-based generation facilities such as ‘Dall-E 2’/’Dall-E 3’, ‘Stable Diffusion’, ‘Midjourney’, Anthropic’s ‘Claude 2’, Microsoft’s Copilot and GitHub’s ‘Copilot’ programming assistance tool. Importance of reading their terms and conditions
- In brief, the need for additional due diligence before using AI-generated content in respect of hallucinations, accuracy, privacy and security
- The benefit of careful and timely record keeping for any project that might result in an arguably AI created work or devised invention
- Assignments and licences of AI-created works and inventions - new difficulties?
- A brief tour of the present practice on AI and IP in other jurisdictions including the USA. To what extent might overseas practice affect UK practice and legislation in the future?
Expenses
MBL Seminars Limited
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