Patent-Busting: The Public Patent Foundation, Gene Patents, and the Seed Wars
By Matthew Rimmer. 2013
Subfields: Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Natural Language Processing
- Iason Gabriel
- John F. J. Mellor
- Borja Balle
- Geoffrey Irving
- Amelia Glaese
- Myra Cheng
- Lisa Anne Hendricks
- Po-Sen Huang
Citations in the corpus
- Ethical and social risks of harm from Language Models (2021, background): “In patent law, the phenomenon of ‘patent-busting’ has been described to harm some, but create widespread social benefit to other actors (Rimmer, 2013).”
- Taxonomy of Risks posed by Language Models (2022, background): “If LMs can be used to generate content that serves as a credible substitute for a particular example of human creativity - otherwise protected by copyright - this potentially allows such work to be replaced without the author’s copyright being infringed, analogous to ”patent-busting” [158].”