With the recent accessibility of big data sets and powerful computing systems, artificial intelligence (AI) is increasingly used across industries to generate predictions. A human is always initially involved to program the model and determine any learning objective, but the model may evolve to generate results not foreseen by the human. If the result is new, non-obvious, and useful, should an entity be able to obtain a patent? What if no human believes that they contributed to the conception of the idea?
The Artificial Inventor Project has begun to explore the issue of AI generated innovation around the world, by filing patent applications where the only listed inventor is an AI algorithm (named DABUS). As humans begin to rely more on AI in discovery processes, these are important issues to consider sooner than later.
Join Gene Quinn, patent attorney and founder of IPWatchdog.com, for a conversation about the patenting of artificial intelligence, and the patenting of innovations generated by AI. Joining Gene will be Dr. Kate Gaudry, a partner with Kilpatrick Townsend & Stockton LLP, and Dr. Ryan Abbott, MD, JD, MTOM, PhD, a Professor of Law and Health Sciences at the University of Surrey School of Law, Adjunct Assistant Professor of Medicine at the David Geffen School of Medicine at UCLA, and Dr. Richard Frank, MD, PhD, Chief Medical Officer of Siemens Healthineers, North America.
In addition to taking your questions, the panel will discuss:
- The current status of the Artificial Inventor Project appeals and patent applications
- Policy and legislative initiatives on AI and intellectual property
- Practical solutions for obtaining protection on AI-assisted innovations
This webinar is sponsored by: