The three levels of Artificial Intelligence (AI) can be defined as follows:
- Artificial Narrow Intelligence (ANI) refers to a computer´s ability to perform a specific (single) task.
- Artificial General Intelligence (AGI) which is capable of transferring knowledge from one domain to a new domain, e.g. when a computer program can perform the same intellectual task as a human being.
- Artificial Super Intelligence (ASI) which is theoretically capable of surpassing human intellect.
Today, most experts would agree that we are seeing tangible results from ANI only. AGI is at least two decades away from being perfected (only scientific studies but no more), and ASI is even farther off (still kind of science fiction).
There is a diffused sentiment that the trend is that software will widely become AI, which in turn will become “Super Software” implemented everywhere, in every field of technology, well beyond ICT.
Key elements to be considered when drafting/prosecuting a patent application in the field of AI are the following:
- The technical effect(s) of the invention should be explicitly defined by means of technical features.
- The AI invention must be a technically implemented.
- The AI invention must be applied to a field of technology.
Theoretical and futuristic aspects include the following issues:
- Who is the inventor, a person or AI?
- Reverse engineering will be more and more difficult: How to detect infringement?
- Who is the skilled person for assessing inventive step, a person, AI or a combination of both?
The potential of Artificial intelligence is enormous. The interconnection of A.I. and art is a relatively less explored field, but in this regard the consequences for intellectual protection law are unpredictable and equally interesting.
In 2016, a network of Dutch museums presented a portrait created by a computer that analysed hundreds of Rembrandt paintings, to finally produce a new artwork in the style of the Dutch artist and that looks exactly as if it had been made by Rembrandt himself.
In the same year, a computer software wrote a brief novel that was admitted into a literary prize in Japan, although it didn’t make it to the final round.
Deep Mind, a Google company, has developed a program that creates original new music by listening to old recordings. The first computer-generated musical debuted in London as early as 2015.
While bots have been present in the creation of work of arts since the 1970s, the difference with modern A.I. lies in the fact that, in the past, the human programmer still had a relevant creative input and the machine merely executed, or reproduced his ideas adding an element of randomness. Today, evolved A.I. robots – due to the developments of machine learning -are capable of behaving in a sophisticated way which is almost as indistinguishable from human intelligence and are capable of unpredictable, autonomous decisions.
As copyright law protects original works of art, and the works produced by robots are certainly original, who owns the copyright to those artworks?
The consequences for copyright law
The question is relevant as there may be substantial commercial rights attached to the copyright of a work of art. Who is to benefit from the commercial rights? The developer of the software? What if the activity cannot be tracked down to a developer in particular, but to a whole company – like it usually happens in case of very sophisticated programs? Or is the machine itself to be considered as an author – but again, in that case, who holds the economical rights? And what if, on the contrary, the final work cannot be considered as attributable to anyone – and therefore can be reproduced, modified and commercialized freely?
Most jurisdictions, included South American jurisdictions, are unequipped to deal with artificial intelligence from this perspective. In Mexico, for instance, the concept of copyright is always linked to a person.
Art. 12 of the 1997 Federal Law on Copyright, states that “The author is the natural person who has created a literary or artistic work.”
In other words, the existence of an individual identified as the author is essential; and by the same reasoning, for instance, corporations in Mexico cannot be authors, although they may be the copyright holders.
The same is true for Brazil, where section 11 of the law 9.610/ 1998, establishes that “The author of a literary, artistic or scientific work is the natural person who created it” – negating the status of creator both to companies and to the software itself.
On a global perspective, EU courts have been behaving similarly, in the sense that they attribute the rights only to a human author – see for instance the Court of Justice of the European Union (CJEU) in the decision C-5/08 Infopaq International A/S v Danske Dagbaldes Forening, where it stated that originality must reflect the “author’s own intellectual creation”, implying that a human author is necessary for a copyrighted work to exist.
The United Kingdom adopts a more blurred stance on the matter, as UK copyright law, section 9(3) of the Copyright, Designs and Patents Act (CDPA), states:
“In the case of a literary, dramatic, musical or artistic work which is computer-generated, the author shall be taken to be the person by whom the arrangements necessary for the creation of the work are undertaken” and this needs to be paired with section 178 of the CDPA defines a computer-generated work as one that “is generated by computer in circumstances such that there is no human author of the work”, admitting, in theory, that computer-generated works may exist. It just needs to be defined who is responsible for the “necessary arrangements”, whether the programmer or the machine itself, which is still under debate in the UK.
Quickly developing technologies have put a strain on most legal systems, and South America needs to keep up with its advancements.