Intellectual Property and Health Technological Innovations at the time of the Pandemic

Abstract

Technological innovations at the time of the pandemic and post pandemic is the focus of this paper which examines the relationship between intellectual property (IP), artificial intelligence (AI) and the healthcare sector. Research in this area includes the rapidly growing artificial intelligence industries in the healthcare sector and the impact of intellectual property protection on emerging technologies. Taking an interdisciplinary and diverse perspective, this paper enriches the evolving scope of ethical discourse literature by focusing on intellectual property assets that use AI and regulation that shape the healthcare sector. Considering the gap between law and development theory and practice, this paper bridges academic knowledge in unpacking ethical and governance issues in the intellectual property industry, healthcare law and emerging technologies. Unpacking these issues is important in the law and development context as ethical issues that arise from emerging technologies using AI systems and the responses from policymakers in governing their developments create long-term implications to individuals and populations. Governance responses often vary according to the local contexts, and are dependent on the unique socio-cultural structures, institutional organisations and legal frameworks.

Publication DOI: https://doi.org/10.1515/ldr-2024-0009
Divisions: College of Business and Social Sciences > Aston Law School
Additional Information: Copyright © 2024 Walter de Gruyter GmbH, Berlin/Boston. This is an accepted manuscript of the article, 'Naim, Nadia and Chan, Hui Yun (2024). "Intellectual Property and Health Technological Innovations at the time of the Pandemic" Law and Development Review'. The published version is available at: https://doi.org/10.1515/ldr-2024-0009
Uncontrolled Keywords: intellectual property,artificial intelligence,Health Technology,Emerging technologies
Publication ISSN: 1943-3867
Last Modified: 22 Nov 2024 08:28
Date Deposited: 14 Mar 2024 17:21
Full Text Link:
Related URLs: https://www.deg ... -2024-0009/html (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2024-03-05
Published Online Date: 2024-03-05
Accepted Date: 2024-02-02
Authors: Naim, Nadia (ORCID Profile 0000-0001-6340-5484)
Chan, Hui Yun

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Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 5 March 2025.

License: Creative Commons Attribution Non-commercial No Derivatives


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