The Barrister Group Blog

The Evolving Terrain of Copyright in the Age of AI-Generated Works

Written by Tahir Khan | Sep 19, 2023 11:30:00 PM

Introduction

In the vibrant realm of digital creativity, a captivating category has come to the fore in recent years—computer-generated works. This category transcends the traditional bounds of authorship and creativity, harnessing the power of complex machine learning algorithms capable of mimicking human creative processes. The term "computer-generated work" has evolved far beyond the old-fashioned notion of humans merely controlling machines to produce images; it now embodies a sweeping concept fuelled by AI-powered creativity. In this article, we embark on a journey into the universe of computer-generated works, exploring real-world examples, dissecting the copyright implications, and navigating the complex legal framework that oversees this ever-evolving landscape.

AI's Creative Apex

Sophisticated AI has attained creative heights hitherto unseen. AI-driven software tools such as Stable Diffusion, DALL•E, and MidJourney are trained on colossal datasets teeming with terabytes of images, encompassing photographs, paintings, drawings, logos, and more. These remarkable tools, guided by text-based prompts, are capable of crafting intricate graphical masterpieces that rival the creativity of humans. The boundaries of AI's potential in the world of art and creativity continue to expand at a staggering pace. To underscore the commercial value of AI-generated art, look no further than the "Portrait of Edmond Belamy," a creation of generative adversarial networks, which fetched an astounding $432,500 at Christie's in New York in October 2018.

The Legal Maze

As AI-generated works challenge the frontiers of creativity, legal systems across the globe grapple with profound implications. Few legal frameworks have provisions that explicitly address computer-generated works, plunging us into an uncharted and intricate terrain. Let's embark on a journey through the crucial legal considerations and pertinent cases.

  1. Copyright Ownership in AI-Generated Works: In the UK, copyright law traditionally grants initial ownership rights to the human author. However, Section 9(3) of the CDPA (Copyright, Designs and Patents Act) introduces a unique twist. It defines that for literary, dramatic, musical, or artistic works generated by a computer, the author is the person who orchestrates the necessary arrangements for the work's creation.

  2. Case Law Precedent: Legal precedents play a pivotal role in clarifying copyright matters concerning AI-generated works. In the "Express Newspapers v Liverpool Daily Post & Echo" case, the High Court ruled that the human programmer responsible for designing the software generating the work should be acknowledged as the author. This principle was reaffirmed in the "Nova Productions Ltd v Mazooma Games Ltd" case, underlining the significance of human involvement in initiating the creative process.

  3. AI Training Data: AI tools such as DALL•E and MidJourney rely on extensive datasets, potentially including copyrighted material. This raises legitimate concerns about potential copyright infringement by AI-generated works. In the European Union, Article 4(1) of the Copyright in the Digital Single Market Directive permits text and data mining for research purposes on publicly accessible works, provided it doesn't infringe upon copyright. The UK is also in the process of aligning its laws with this directive.

  4. Copyright Infringement: AI-generated works may inadvertently infringe upon existing copyrights. For instance, instructing an AI tool to create art in the style of a famous artist could result in the replication of a significant part of the original artist's style, potentially leading to copyright disputes. Determining infringement in such cases can be an intricate endeavour, often hinging on the intent and usage of the AI-generated work.

Conclusion:

The rise of AI-generated works ushers in a realm replete with creative opportunities and intricate legal challenges. While AI tools expand the horizons of artistic expression and empower individuals to create, they simultaneously blur the lines of traditional copyright law. In practice, AI-generated works often exist within a legal grey area, reminiscent of fanfiction and fan art. Copyright holders typically exhibit leniency, provided these works are not commercially exploited to their detriment.

As technology surges ahead, the legal landscape encompassing AI-generated works will inevitably undergo transformation. The ongoing discourse underscores the complexity of these issues, emphasizing the pressing need for legal frameworks to swiftly adapt to this ever-shifting landscape.