The Artificial Inventor Project

Resources

  • Summary

The Artificial Inventor Project was based on the legal scholarship of Professor Ryan Abbott at the University of Surrey, a selection of which is linked below. Professor Abbott’s research argued that AI-generated output should be eligible for intellectual property rights to promote the purposes of patent and copyright law, and that AI-generated output should be designated as such to promote candor and transparency, clear title and allocation of rights, and to preserve the integrity of traditional human inventorship and authorship. 

The AI-generated output in the Artificial Inventor Project was created by AI systems developed and operated by Dr. Stephen Thaler, the CEO and founder of Imagination Engines, Inc. Dr. Thaler has published extensively on how these systems function, some of this literature is linked below. 

  • Legal Research Underlying the Artificial Inventor Project

Ryan Abbott and Elizabeth Rothman, Disrupting Creativity: Copyright Law in the Age of Generative Artificial Intelligence, Fla L. Rev. Vol 75, No. 6, 2023

Ryan Abbott, The Reasonable Robot: Artificial Intelligence and the Law, Cambridge University Press (2020)

Ryan Abbott, Artificial Intelligence, Big Data and Intellectual Property: Protecting Computer-Generated Works in the United Kingdom. Research Handbook on Intellectual Property and Digital Technologies (Tanya Aplin, ed), Edward Elgar Publishing Ltd, 2020

Ryan Abbott, Everything is Obvious. 66 UCLA L. Rev. 2 (2018)  

Ryan Abbott, I Think, Therefore I Invent: Creative Computers and the Future of Patent Law. Boston College Law Review, Vol. 57, No. 4, 2016

  • DABUS and Creativity Machines

Detailed information regarding how DABUS functions and invents has been published in: Vast Topological Learning and Sentient AGI.

Additional details on Dr. Thaler’s AI research may be found at Imagination Engines, Inc.

OGther Inventive Machine

 

World Intellectual Property Office (WIPO

Academic Literature