AI 101: Who owns the output of generative AI?
02 February 2023
This is the second article in our “AI 101” series, where the team at Lewis Silkin will unravel the legal issues involved in the development and use of AI text and image generation tools. In the first article of the series, we looked at how generative AI tools are trained and why lawsuits have been raised against some of the major AI companies in both the UK and US.
The recent proliferation in AI technology has brought us to the precipice of a new era, where written and creative output can be generated by relying heavily on Artificial Intelligence.
In response to basic user prompts, OpenAI’s “ChatGPT” – proclaimed by some to be the most important technological development since the invention of the printing press or the internet itself – can instantaneously generate answers, stories, plans, essays, speeches, computer code and (whisper it quietly) even basic contracts.
Similarly, platforms such as “Midjourney” and “DALL-E 2” are able to generate images of almost anything that comes to mind of the requesting user (in any artistic style), all in less time than it takes to make a cup of tea.
The relative speed and ease at which these tools can create new content means companies across a wide range of industries are relying on AI to help create content and deliverables. Last month, Buzzfeed announced it was planning to harness artificial intelligence as part of its core business to personalize and enhance its online quizzes and content (and that it would also be cutting about 12% of its workforce to rein in costs).
However, when using AI to create content, it raises the question…
Is the output of generative AI protected under IP law?
The short answer is – it depends!
IP ownership can be a complex issue and, when it comes to AI generated works, the answer will likely vary depending on:
- the laws of the relevant jurisdiction that govern the AI and the creation of the work;
- the extent of the role performed by both the human user and the AI platform in generating the output; and
- the IP provisions under the T&Cs of the relevant AI platform.
From a UK perspective, artistic works are protected by copyright if they are “original”, generally interpreted (in the UK and EU) to mean that the work must be “the author’s own intellectual creation”. The key question at the outset is therefore – who is the “author” that owns the work in the eyes of the law?
Can the AI itself be the “author” in the eyes of the law?
Unlike most other countries, UK legislation provides copyright protection to a work generated by a computer in circumstances where there is no human author. The law provides that such works will be owned by a human or corporate person, but the computer program or AI itself can never be the author or owner of the IP. Instead, section 9 of the Copyright Designs and Patents Act 1988 (CDPA) designates the human “author” of computer-generated works as “the person by whom the arrangements necessary for the creation of the work are undertaken” and protection lasts for 50 years from the date the work is created. This means for wholly AI generated artwork the law would most likely designate that the platform creators are the authors (i.e. those that have designed the AI technology), rather than the AI itself.
In contrast, in the US a work must be the result of original and creative authorship by a human author to enjoy copyright protection. As a result, the U.S. Copyright Office will not register a work that was created purely by an autonomous artificial intelligence tool.
Under UK law, when it comes to identifying who the human “author” of an AI generated work is, it is therefore necessary to consider the level of input provided by the human user.
Where an AI platform requires human prompts but the process behind creating the artistic work is mostly the result of automated decision-making of the AI computer algorithm – with minimal input by the human user other than basic text prompts – then to the extent the AI work is deemed protectable by copyright, the likely starting point would be to assume that the output would be owned by the platform creators in the first instance.
However, where the platform requires a much greater degree of input and control by the human user through prompts or uploaded materials in order to formulate the concept (and the AI acts more as a “tool” to bring the idea to life), it is becomes more likely that the author and owner of any copyright protected work would the human user in this scenario.
Always read the small print
Irrespective of the copyright ownership position as determined by law, it’s always important to check the T&Cs of the relevant platform to assess the terms on which the output is being provided to the user contractually.
Some platforms will take the position that the final output is owned by the user and any IP in the output is therefore assigned to the user on creation. Other platforms may adopt the position that any IP in the output stays with the platform creators and is provided to the user under a licence only (which may come with restrictive licensing terms on how you can use it).
This is a vital consideration for companies and agencies relying on AI to create project deliverables where the end-client expects to own the deliverable outright. If the T&Cs of the relevant AI platform to not “assign” the IP in the output to you in the first instance, you will not have the necessary IP rights to transfer full ownership of that work onto the end-client.
It’s fair to assume that AI will inevitably test whether our existing rules around IP authorship and ownership are fit for the modern age. Most intellectual property legal frameworks (including the UK’s) were not drafted with today’s AI technology in mind, so we may well see IP laws revised in the near future to account for the role AI will play in content creation.
For now, the key first step for those using AI in their everyday business or personal lives will be to consider the T&Cs of the relevant AI platform and to make sure you have all the necessary rights to use the final output as you desire.
Of course, the team at Lewis Silkin is here to help if you have any questions!
Read the next article in our series 'AI 101: What are the infringement risks of using AI-generated works?'.
AI 101: What are the key data privacy risks and rewards for this new tech?23 February 2023
This is the fifth article in our “AI 101” series, where the team at Lewis Silkin will unravel the legal issues involved in the development and use of AI text and image generation tools.
AI 101: The Regulatory Framework20 February 2023
This is the fourth article in our “AI 101” series, where the team at Lewis Silkin unravel the legal issues involved in the development and use of AI text and image generation tools. In the previous article of the series, we looked at the infringement risks of using AI-generated works. In this article, we consider the regulatory framework for AI being proposed by the European Commission and how the UK might follow suit.
AI 101: What are the infringement risks of using AI-generated works?07 February 2023
This is the third article in our “AI 101” series, where the team at Lewis Silkin will unravel the legal issues involved in the development and use of AI text and image generation tools. In the previous article of the series, we considered questions of ownership and authorship when it comes to generating AI works. In this article we consider how those tools might be infringing IP rights and how the users of those tools might find themselves in hot water.
AI 101: How do AI tools work and why are lawsuits being raised?23 January 2023
In this “AI 101” series of blog posts, the team at Lewis Silkin unravel the legal issues involved in the development and use of AI text and image generation tools. This initial post explores how these tools operate and considers the legal cases being brought against major AI platforms in the UK and US. Later posts in the series will consider who owns the output of AI image generators, the infringement risks involved in using output created by AI; the ethical implications of programming AI; and what regulation is on the horizon – so keep an eye out for those!