Artificial Intelligence and the Patent System: Can a New Tool Render a Once Patentable Idea Obvious?

Created by W.Langdon from gp-bibliography.bib Revision:1.8194

@InCollection{Samore:2018:rhlAI,

• author = "William Samore",
• title = "Artificial Intelligence and the Patent System: Can a New Tool Render a Once Patentable Idea Obvious?",
• booktitle = "Research Handbook on the Law of Artificial Intelligence",
• publisher = "Edward Elgar Publishing",
• year = "2018",
• editor = "Woodrow Barfield and Ugo Pagallo",
• chapter = "17",
• pages = "471--488",
• address = "Cheltenham, GL50 2JA, UK",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978 1 78643 904 8",
• URL = "https://www.e-elgar.com/shop/gbp/research-handbook-on-the-law-of-artificial-intelligence-9781786439048.html",
• DOI = "doi:10.4337/9781786439055.00030",
• abstract = "Artificial intelligence is vastly changing the way technology is designed and developed. For example, devices that were once designed by humans are now being designed by machines. Among others, the chapter addresses the following topic and questions—what impact, if any, should this have on the patent system? And should a device designed by a machine be patentable? The role of patent law with AI entities is the major focus of the chapter.",
• notes = "info@e-elgar.co.uk cited by Cheryl Denise Power, 'The Role of Innovative Elements in the Patentability of Machine Learning Algorithms' PhD thesis, Faculty of Law, University of Ottawa, 2022",

}

Genetic Programming entries for William J Samore

Citations