So, have we really reached the point at which machines can challenge humans in the realm of creativity and ingenuity? And, if so, why are we hearing about it from a law professor and a lone developer, rather than in peer-reviewed publications by leading AI research teams, or in media releases from well-known mega-corporations that have invested billions in this technology? Furthermore, are we really expected to take seriously claims made by Dr Thaler that his AIs exhibit enhanced creativity as a result of infusing symptoms of ‘mental illness’ into their neural networks?
Personally, I have been astonished at the lack of scepticism towards claims of machine inventorship, not only in the media, but also among many patent professionals, and within reputable IP offices. Even the World Intellectual Property Organization (WIPO), in a recent draft issues paper on ‘Artificial Intelligence and Intellectual Property Policy’, went so far as to accept that ‘it would now seem clear that inventions can be autonomously generated by AI’, noting that ‘there are several reported cases of applications for patent protection in which the applicant has named an AI application as the inventor.’
Nonetheless, whatever I might think of DABUS as a specific example, major national and international IP organisations are responding to broader challenges presented by emerging ML technologies that, inventorship aside, raise genuine questions in relation to subject matter eligibility, obviousness, and sufficiency of disclosure. And since ML technologies can be applied in almost any field of endeavour, from engineering design through to drug discovery, these issues are not confined to inventions in the IT space.
Last month, I presented a webinar on this topic to members of the Institute of Patent and Trade Mark Attorneys of Australia (IPTA). I have now recorded a version of that presentation, and am making it available as a free online seminar. It can be viewed on YouTube, or via the embedded player below. A PDF copy of the presentation slides [1.12MB] is also available for download.
Before You Go…
Thank you for reading this article to the end – I hope you enjoyed it, and found it useful. Almost every article I post here takes a few hours of my time to research and write, and I have never felt the need to ask for anything in return.
But now – for the first, and perhaps only, time – I am asking for a favour. If you are a patent attorney, examiner, or other professional who is experienced in reading and interpreting patent claims, I could really use your help with my PhD research. My project involves applying artificial intelligence to analyse patent claim scope systematically, with the goal of better understanding how different legal and regulatory choices influence the boundaries of patent protection. But I need data to train my models, and that is where you can potentially assist me. If every qualified person who reads this request could spare just a couple of hours over the next few weeks, I could gather all the data I need.
The task itself is straightforward and web-based – I am asking participants to compare pairs of patent claims and evaluate their relative scope, using an online application that I have designed and implemented over the past few months. No special knowledge is required beyond the ability to read and understand patent claims in technical fields with which you are familiar. You might even find it to be fun!
There is more information on the project website, at claimscopeproject.net. In particular, you can read:
- a detailed description of the study, its goals and benefits; and
- instructions for the use of the online claim comparison application.
Thank you for considering this request!
Mark Summerfield
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