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The Potential Role of Artificial Intelligence in the Commercialization of Traditional Medicines in Tropical Regions

In: Artificial Intelligence for Sustainability

Author

Listed:
  • Robert Brian Smith

    (School of Law, University of New England)

  • Mark Perry

    (School of Law, University of New England)

  • Darryl Robert Smith

    (Radioactive Networks Pty Ltd)

Abstract

This chapter investigates artificial intelligence (AI)’s potential role in developing a comprehensive process to identify efficacious traditional and complementary medicines by marginalized communities in tropical regions for use in commercial applications. AI’s latest step forward in machine intelligence and learning has been driven by higher levels of code, investment, hardware, and widely available datasets. We outline an approach to leverage such technologies, which aims to benefit society through access to better treatments based on traditional medicines while maintaining principles of sustainability and fairness for communities at the source of the knowledge. This approach can also ensure the protection of biodiversity in ecologically sensitive environments.

Suggested Citation

  • Robert Brian Smith & Mark Perry & Darryl Robert Smith, 2024. "The Potential Role of Artificial Intelligence in the Commercialization of Traditional Medicines in Tropical Regions," Springer Books, in: Thomas Walker & Stefan Wendt & Sherif Goubran & Tyler Schwartz (ed.), Artificial Intelligence for Sustainability, chapter 10, pages 207-228, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-49979-1_10
    DOI: 10.1007/978-3-031-49979-1_10
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