Intellectual Property Law

Book review: The Reasonable Robot, Artificial Intelligence and the Law

By Johanna Gibson, David Pearce, Jeremy Phillips and Ilanah Simon.

In the description of The Reasonable Robot, Artificial Intelligence and the Law by Ryan Abbott (University of Surrey) it says:

Abbott argues that the law should not discriminate between AI and human behaviour and proposes a new legal principle that will ultimately improve human well-being.

This Kat was intrigued to find out more! The book is set out with an introduction followed by 7 chapters. 

The introduction ?artificial intelligence and the law? covers AI legal neutrality, tax, tort, intellectual property, criminal and the future of AI. In the intellectual property section, Abbott says that it is unclear whether AI-generated inventions, made without traditional inventors, are eligible for patent protection. As we know, this is currently being tested in the courts of the UK, USA, and Europe. In fact, Abbott was involved in the project which he discusses in the book, you can also find out more information on their website here, Katposts here and here. However, he suggests that ?patent offices have likely been granting patents on AI-generated inventions for decades ? but only because no one?s disclosing AI?s involvement.? Abbott argues that the law should permit patents for AI-generated inventions and even recognise AI as an inventor when AI meets inventorship criteria. This argument is based on the purpose of intellectual property to fulfil the purpose of encouraging socially valuable activities as well as financial motivations for inventors. He reasons that the machine has no use for the patent, but granting one would incentivise AI inventions. 

Chapter 1: 'Understanding artificial intelligence', provides a brief history and background on the development of AI. Abbott sets his definition of AI as 'an algorithm or machine capable of completing tasks that would otherwise require cognition'. This Kat recalls the definition proposed by Jacob Turner in Robot Rules as ?the ability of a non-natural entity to make choices by an evaluative process?. These are similar ideas but perhaps Abbott?s definition is a lower threshold, in that the AI only needs to complete a task, rather than make a choice. Abbott's choice of word ?cognition? is interesting to this Kat ? as she has a book called Law, Technology and Cognition! Cognition is a word that traditionally relates to brain function. This word therefore fits well with Abbott?s view that the law should not discriminate between AI and human behaviour. 

The introduction chapter then considers whether AI can think, and explain the different types of AI and its applications, including symbolic AI, connectionist AI and advanced AI. It concludes by discussing some of the characteristics of AI, including limited explainability, specific and weak, lack of predictability, physicality and autonomy. 

Kat Cognition  Image: Jennifer Lamb

Chapter 2 asks whether artificial intelligence should pay taxes, based on the concern that AI will increase unemployment, since it can automate many work functions. In addition, if a company replaces a human worker with AI, the company will pay less tax.

Paperback £22.99

ISBN: 9781108459020

Full post as published by IPKat on October 29, 2020 (boomark / email).