Uploaded May 2025 | Updated September 2026, 1 week ago
UCL IBIL's Annual Copyright Seminar on 14 May 2025
About this event
Neither the UK nor the EU have official copyright registers. Copyright protection, in line with the Berne Convention’s fundamental principle of formality-free protection, arises automatically. For creators and copyright holders, this has immediate benefits: there are no tricky forms to complete and no registration or maintenance fees to pay. But there are disadvantages too. Unlike in the realm of patents, designs and trade marks, there is no publicly accessible resource containing information about which works are protected, who is the author and current owner of a work. Given copyright’s the long term of protection, this can create challenges when administering or enforcing copyright. For reasons such as these, some countries, notably the USA, have a system in place to allow for the voluntary registration of works. Also, Collective Management Organisations (CMOs) have developed their own registration systems for works entrusted to their care.
Arguably, fast-developing generative AI technologies have made it more important to keep track of copyright ownership. The EU copyright regime establishes a rights reservation mechanism and transparency obligations as per the Copyright and Related Rights in the Digital Single Market Directive (Directive 2019/790) and the AI Act (Regulation 2024/1689). The UK Government is currently pondering on whether to introduce similar measures. Everywhere it seems debates continue to rage: how best to introduce transparency regimes in the use of copyright works for training and operating generative AI systems, and what infrastructure is needed to police opt-outs (or opt-ins?).
Against this backdrop, our expert panel will consider the increasing imperative for traceability and identifiability of works in this AI-age. Are there workable options which don’t require an official Copyright Register?
Speakers:
James Bennett, Head of Rightsholder Relations, Copyright Licensing Agency
Professor Martin Senftleben, Director of the Institute for Information Law (IViR), University of Amsterdam
Chair: Professor Amanda Harcourt, Honorary Professor of Practice, UCL Faculty of Laws
UCL IBIL's Annual Copyright Seminar on 14 May 2025
About this event
Neither the UK nor the EU have official copyright registers. Copyright protection, in line with the Berne Convention’s fundamental principle of formality-free protection, arises automatically. For creators and copyright holders, this has immediate benefits: there are no tricky forms to complete and no registration or maintenance fees to pay. But there are disadvantages too. Unlike in the realm of patents, designs and trade marks, there is no publicly accessible resource containing information about which works are protected, who is the author and current owner of a work. Given copyright’s the long term of protection, this can create challenges when administering or enforcing copyright. For reasons such as these, some countries, notably the USA, have a system in place to allow for the voluntary registration of works. Also, Collective Management Organisations (CMOs) have developed their own registration systems for works entrusted to their care.
Arguably, fast-developing generative AI technologies have made it more important to keep track of copyright ownership. The EU copyright regime establishes a rights reservation mechanism and transparency obligations as per the Copyright and Related Rights in the Digital Single Market Directive (Directive 2019/790) and the AI Act (Regulation 2024/1689). The UK Government is currently pondering on whether to introduce similar measures. Everywhere it seems debates continue to rage: how best to introduce transparency regimes in the use of copyright works for training and operating generative AI systems, and what infrastructure is needed to police opt-outs (or opt-ins?).
Against this backdrop, our expert panel will consider the increasing imperative for traceability and identifiability of works in this AI-age. Are there workable options which don’t require an official Copyright Register?
Speakers:
James Bennett, Head of Rightsholder Relations, Copyright Licensing Agency
Professor Martin Senftleben, Director of the Institute for Information Law (IViR), University of Amsterdam
Chair: Professor Amanda Harcourt, Honorary Professor of Practice, UCL Faculty of Laws









![Regulatory Models for Algorithmic Assessment: Robust Delegation or Kicking The Can?
A UCL Laws lecture recording from 25 April 2024.
Speakers: Prof. Margot Kaminski (University of Colorado Law School), Associate Prof. Michael Veale (UCL Laws) and Assistant Prof. Jennifer Cobbe (University of Cambridge).
Chair: Andrew Strait (Ada Lovelace Institute)
Recent years have seen a surge in regulation targeting algorithmic systems, including online platforms (Online Safety Act [UK], Digital Services Act [EU]), artificial intelligence (AI Act [EU], AI Executive Order [US]), and the application and extension of existing frameworks, such as data protection, to algorithmic challenges (UK and EU GDPR, California Consumer Privacy Act and Draft Automated Decisionmaking Technology Regulations [USA]). Much of the time, these instruments require regulated actors to undertake or outsource some form of assessment, such as a risk assessment, impact assessment or conformity assessment, to ensure the systems being deployed have desired characteristics. On first glance, all these assessments look like the same regulatory mode — but are they? What are policymakers and regulators actually doing when they outsource the analysis of such systems to actors or audit ecosystems, and under what conditions might it produce good regulatory results? Is the AI Acts conformity assessment really the same kind of beast as the Digital Services Act or Online Safety Acts risk assessment, or the GDPRs data protection impact assessment? Is this just kicking the can on value-laden issues, like fairness or transparency, representativeness or speech norms, down to other actors, because legislators dont want to do it?
In this discussion, three scholars of these systems will compare and contrast different regulatory regimes concerning AI with a focus on how actors within them can understand the systems around them. Does the outsourcing of the analysis of how AI systems work make sense, and is it given to actors with the position and analytic capacity to do it, or might it lead to regulatory arbitrage or even failure? Regulatory Models for Algorithmic Assessment: Robust Delegation or Kicking The Can?](https://i.ytimg.com/vi/lbVEgSLO3iY/mqdefault.jpg)
