AI in Traditional Medicine: Report by WHO, ITU, WIPO
Harnessing AI for Customary Medicine: A Path too Ethical Innovation adn Community Empowerment
The integration of Artificial Intelligence (AI) into traditional, complementary, and integrative medicine (TCIM) presents a transformative prospect to strengthen its evidence base, preserve invaluable knowledge, and foster global health equity. However, this powerful technological advancement must be guided by ethical principles, rooted in respect for cultural diversity, and driven by the empowerment of indigenous Peoples and local communities.A recent technical brief underscores the critical need for a balanced approach, advocating for data-driven innovation with ethical foundations.
The brief highlights the crucial role of high-quality, inclusive data and participatory design in ensuring AI systems accurately reflect the richness and complexity of traditional medicine. AI applications are already proving instrumental in bolstering research and evidence for TCIM. Examples like India’s Traditional Knowledge Digital Library (TKDL) and the Pan American Health Institution’s (PAHO) Virtual Health Library in the Americas demonstrate how AI can be leveraged to safeguard Indigenous knowledge, promote collaboration, and crucially, prevent biopiracy. biopiracy, defined as the unauthorized appropriation and patenting of biological resources and associated traditional knowledge without fair compensation, poses a meaningful threat to the sustainability and equitable benefit-sharing of these vital resources.
Edward Kwakwa, Assistant Director-General of the World Intellectual Property Organization (WIPO), emphasizes the importance of intellectual property as a catalyst for AI integration in traditional medicine. He notes that WIPO’s work,including the recently adopted WIPO Treaty on Intellectual Property,Genetic Resources and Associated Traditional Knowledge,aims to equip stakeholders with the tools to manage intellectual property effectively,thereby supporting policy priorities for Indigenous Peoples and local communities.
Guarding Data Sovereignty, Empowering Communities
A central tenet of this forward-looking approach is the urgent call to uphold Indigenous data Sovereignty (IDSov). This principle ensures that AI development is governed by free,prior,and informed consent (FPIC),empowering Indigenous Peoples to control their data and benefit from its use. The document showcases successful community-led data governance models from Canada, New Zealand, and Australia, urging governments worldwide to enact legislation that solidifies Indigenous Peoples’ rights over their data.
“AI must not become a new frontier for exploitation,” warns Dr. Yukiko Nakatani, WHO Assistant Director-General for Health Systems.”We must ensure that Indigenous Peoples and local communities are not only protected but are active partners in shaping the future of AI in traditional medicine.”
A Global Call to Action
With the global TCIM market projected to reach nearly US$600 billion by 2025, the strategic request of AI holds immense potential to accelerate its growth and impact, contributing significantly to holistic healthcare. While the opportunities are abundant, significant knowledge gaps and inherent risks necessitate a proactive and comprehensive response.
The development of holistic frameworks tailored to TCIM is paramount.These frameworks must address critical areas such as regulation, knowledge sharing, capacity building, data governance, and the promotion of equity. Such measures are essential to ensure the safe, ethical, and evidence-based integration of advanced technologies like AI into the TCIM landscape.
The technical brief issues a global call to action for all stakeholders, urging them to:
Invest in inclusive AI ecosystems that champion cultural diversity and uphold Indigenous Data Sovereignty.
Develop national policies and legal frameworks that explicitly address the role of AI in traditional medicine.
Build capacity and digital literacy among traditional medicine practitioners and their communities.
Establish global standards for data quality, interoperability, and the ethical application of AI.
* Safeguard traditional knowledge thru AI-powered digital repositories and robust benefit-sharing models.By harmonizing the power of AI with the enduring wisdom of traditional medicine, a new paradigm of care can emerge-one that honors the past, empowers the present, and cultivates a healthier, more equitable future for all.