Page 58 - AI Standards for Global Impact: From Governance to Action

AI Standards for Global Impact: From Governance to Action

Box 2: Importance of IP for AI in healthcare

Medical technology is revolutionizing health care. From AI-driven diagnostics
to 3D-printed implants, innovative solutions are enhancing patient care but also
highlighting the critical role of intellectual property (IP) in bringing such advances
to market. With AI and data analytics now integral to health care innovation, the
importance of protecting IP in this domain has never been greater. For companies, data
is not just a by-product of their technology, it is a vital asset that drives the effectiveness
of AI models and opens up new avenues for licensing and collaboration.

Brain scanners, for example, relies on AI models trained with diverse datasets to
accurately detect brain injuries. Protecting that data through robust IP strategies is
crucial not only to protecting the innovation but also to capitalizing on its full market
potential. For medical technology companies, securing IP is only part of the challenge.
Bringing a medical device to market involves navigating complex regulatory landscapes,
which vary significantly across different jurisdictions. IP plays an important role in that
process, providing a foundation for compliance and market access.

In terms of key areas of action, the following were proposed:

a) IP frameworks must evolve to address AI-specific challenges like authorship and data
rights.
b) Exceptions and limitations are essential to enable AI development.
c) Open innovation and indigenous data governance must be considered in global
standards.
d) Global cooperation is needed to align IP, data, and regulatory frameworks.
e) Develop model IP clauses and licensing templates for AI in health.
f) Promote awareness of copyright implications at each stage of the AI pipeline.
g) Encourage countries to include IP in their AI strategies and policies.

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