There is a popular saying that goes, “a picture is worth a thousand words.”
In recent years, a group of engineers at the California-based research lab, OpenAI, have revolutionized this expression with their innovation of DALL-E and its successor, DALLE-2 (“DALL-E”). In November 2022, OpenAI released DALL-E in beta as an application programming interface (“API”), allowing developers to integrate DALL-E into their products. This article describes DALL-E and some core contracting considerations for lawyers advising clients who leverage the technology.
What Is DALL-E?
DALL-E is an artificial intelligence system that is trained to generate, manipulate, and re-arrange images derived from natural language prompts. DALL-E incorporates a dataset of text-image pairs with over 12 billion parameters (i.e., the number of input data that can be transformed into output data) to compose art that is so sophisticated, it can look as though a human created or photographed it (see “DALL-E Demo” example from DALL-E’s website).
The idea of AI-generated art is not new. Much has been written about how Canadian legislators can account for these disruptive technologies.
These questions are still relevant, but the unique capabilities inherent in DALL-E are worth highlighting, not only from a statutory, but also a contracting perspective, especially now that DALL-E has been released in API form.
DALL-E Demo: An output generated by the input, “teddy bears shopping for groceries in ancient Egypt.”
While OpenAI owns its data, the user is assigned all right, title and interest in and to its outputs. Any art generated by DALL-E will therefore be owned by the person contributing the input that created the art.
Ownership gives the user broader rights than a license does. In the context of AI-generated art, ownership also carries unique risks. For example, several users could contribute the same or similar inputs, and in turn, receive the same or similar outputs. In theory, there could be multiple owners of the same or similar art.
OpenAI’s Terms, in fact, explicitly prohibit using DALL-E in a way that causes infringement of third-party rights. Therefore, in addition to the disclaimer, you can pass this restriction down to end-users and discuss with your client whether they wish to mandate a process for their end-users to report any known or suspected infringements. As a business, this would help the client better monitor its fulfillment of OpenAI’s Terms.
Limitation of Liability (“LoL”) and Indemnity
For your client’s business, it would therefore be wise to strategize passing on a LoL to its end-users that is just as strong as, or even stronger than, OpenAI’s Terms. Your goal should be to flow through these costs so that your client is not out-of-pocket from a claim. This is especially important because under OpenAI’s Terms, your client gives a sweeping indemnity for all claims arising from its use of DALL-E.
DALL-E seems to be an inevitable technology that intends to transform business models and create efficiencies in the creative space. As a result, it is a lawyer’s job to be prepared to manage its risks as they come to the forefront. Since DALL-E is in its beta stage, we can expect it to evolve and for the contracting implications to evolve with it.
The information contained in the article above is not intended to provide legal advice.
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