Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/34970
Appears in Collections: | Law and Philosophy Book Chapters and Sections |
Title: | Sustainable Patent Governance of Artificial Intelligence: Recalibrating the European Patent System to Foster Innovation (SDG 9) |
Author(s): | Noto La Diega, Guido Cifrodelli, Gabriele Dermawan, Artha |
Contact Email: | guido.noto.la.diega@stir.ac.uk |
Editor(s): | Amani, Bita Ncube, Caroline Rimmer, Matthew |
Citation: | Noto La Diega G, Cifrodelli G & Dermawan A (2023) Sustainable Patent Governance of Artificial Intelligence: Recalibrating the European Patent System to Foster Innovation (SDG 9). In: Amani B, Ncube C & Rimmer M (eds.) <i>Elgar Companion on Intellectual Property and Sustainable Development Goals</i>. Cheltenham: Edward Elgar Publishing. |
Keywords: | sustainable AI climate change mitigation technologies European patent law inventive step AI inventorship sustainable patent governance SDG 9 |
Date Deposited: | 9-Mar-2023 |
Abstract: | This chapter reflects on what a sustainable patent governance looks like in the age of the rise of inventive AI. To do so, we critically evaluate the relationship between Artificial Intelligence, European patent law, and sustainability with a focus on the Sustainable Development Goal 9, i.e. to build resilient infrastructure, to promote inclusive and sustainable industrialisation, and to foster innovation. In particular, we consider SDG targets 9.1, 9.2, and 9.5 for their emphasis on equitable access to innovation, inclusive industrialisation, and an imperative to consider the national circumstances of developing countries. While the contribution of patent law to SDG 9 may prima facie appear as straightforward – both are all about promoting innovation – we problematise this relationship by shedding light on the unsustainability of patents. In Section 1, we analyse patent data related to climate change mitigation technologies to discover that, under the European Patent Convention, there has been a significant growth in AI-related patenting, but that developing countries are being left behind. In Section 2, to overcome the decreased access to innovation stemming from an inventive step requirement that does not match the reality of AI-powered ingenuity, we focus on AI datasets and suggest a recalibration that revolves around the concept of Therapeutics Data Commons. In Section 3, we suggest a more nuanced understanding of AI inventorship to include Global South perspectives. |
Rights: | This is a draft chapter. The final version will be available in Elgar Companion on Intellectual Property and Sustainable Development Goals edited by Bita Amani, Caroline Ncube, and Matthew Rimmer (eds),, forthcoming 2023, Edward Elgar Publishing Ltd. The material cannot be used for any other purpose without further permission of the publisher, and is for private use only. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
NLD Cifrodelli Dermawan IP AI SDG 9.pdf | Fulltext - Accepted Version | 672.86 kB | Adobe PDF | View/Open |
This item is protected by original copyright |
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.