I’m sure everyone will agree when I say that one of the greatest flaws in Cyberdyne’s Skynet was the disregard for proper protection of its creations in terms of IP. Of course, it did also set out to eradicate mankind, which is a debatable way to secure your market share – whatever market that may be left.
For now, the onset of artificial intelligence has not reached such a worrying level (that we know of), but it has already had an enormous impact in concept creations on multiple levels, from the first steps of pure concept building to actual implementation, to an extent that questions arise about who is the owner of such an AI generated concept, and forcing the legal systems to come up with answers, and fast.
One such tale, is that of DABUS. DABUS, standing for Device for the Autonomous Bootstrapping of Unified Sentience) was created by Dr. Stephen Thaler. DABUS, which itself was patented by Dr. Thaler (US7454388 for instance), is an AI capable of autonomously generating novel ideas. Two of these inventions were submitted by Dr. Thaler for patent protection in multiple jurisdictions, one for an improved food container, another for an improved alerting system. As is proper for a patent application in any jurisdiction, an inventor is required to be designated, and Dr. Thaler filled in DABUS’ name on the forms. In Europe and the rest of the work, these developments presented immediate and practical implications for the legal framework surrounding innovation.
The Core Legal Challenge: Inventorship
Under the European Patent Convention (EPC), the concept of inventorship is explicitly tied to natural persons, as is the case in many other countries (or will be, because of this precedent). This requirement has been consistently upheld by the European Patent Office (EPO), which has rejected applications listing DABUS as the sole inventor – as well as a number of variations that reminded of Prince’s later artist names (see recent EPO Decision in EP 21 216 024.6). These decisions reinforce the notion that inventorship requires a human mind to be the source of the inventive concept.
However, as AI systems like DABUS grow increasingly sophisticated, this strict adherence to human inventorship poses complex questions. When an AI’s role in creating an invention surpasses that of human contributors, such as merely setting parameters or curating data, should the definition of inventorship evolve? Alternatively, would expanding inventorship to include AI risk undermining the principles that underpin the patent system?
Ownership and Accountability
Even if AI systems were acknowledged as inventors, the question of ownership remains unresolved. Patents confer rights and responsibilities, which AI systems themselves cannot assume. Assigning ownership to the developer, operator, or another stakeholder could give rise to disputes, especially in cases where the AI’s creation process involves multiple entities. Of course, this issue is inherently also present in the ‘normal’ situations, but having a non-human inventor only adds to the difficulty. Robust contractual agreements could probably avoid most of these situations to become actually troublesome, but it’s yet another loophole to be closed.
Accountability is another critical issue. Patents are intended not only to incentivize innovation but also to ensure accountability for their application and potential misuse. Without clear structures for responsibility, the patent system could become vulnerable to exploitation, eroding the incentives it is designed to provide.
The Broader Implications for Patentability
The DABUS case highlights broader issues of patentability in an AI-driven landscape. European patent law evaluates inventive step—a core criterion of patentability—from the perspective of a "person skilled in the art." However, as AI systems exceed human capabilities in certain areas, traditional benchmarks for obviousness and inventiveness are called into question.
For example, if an AI system generates an invention that would be inconceivable to human experts, does this inherently satisfy the requirement for non-obviousness? Or should the inventive step be reassessed to incorporate the capabilities of AI? These questions underscore the need for refined legal interpretations as AI continues to influence innovation.
They may even lead to a further step towards objectivization and standardization (at least on national level) on the threshold of inventive step.
Current International Landscape
As it stands, the legal recognition of DABUS as an inventor has varied across jurisdictions, illustrating a lack of global consensus on this issue:
For now, in most of the major territories, the same line was held, that an inventor needs to be human (alas, no flowers for Algernon). It remains to be seen if that line will buckle in the future.
Future Considerations
The advent of systems like DABUS presents both challenges and opportunities for the patent system. While such cases expose gaps in existing legal frameworks, they also offer a chance to rethink how innovation is protected and incentivized in an AI-driven era. Finding a balance between preserving human ingenuity and embracing the potential of AI will be critical. It is safe to say that the use of AI will grow in any conceivable field and application, and not the least in innovation, and it demands a thoughtful and adaptive response from the legal community.
A number of questions arise from this new situation. Firstly, will the definition of “inventorship” be reconsidered in light of AI ‘assistance’ in innovation, and how will this be resolved with existing legal frameworks, such as the need to assign rights to the eventual applicant? Secondly, will the definition of “inventive step” (or its counterpart) change if the definition of the inventor would shift? And finally, when and where will the change start?
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