Page 23 - Shaping ethics, regulation and standardization in AI for health

Shaping ethics, regulation and standardization in AI for health

• Technical Advisory Group (TAG): Provides technical leadership and advice, working
through subgroups such as working groups (WGs), topic groups (TGs), and facilitation
groups (FGs).

Figure 4: GI-AI4H structure

Organizations that wish to join the GI-AI4H as donors, associate partners or academics are
encouraged to contact the secretariat via the mailbox: tsbfgai4h@ itu .int.

8 Conclusion

During its five years of operation, the FG-AI4H was able to create a solid framework to facilitate
adoption of AI for health solutions on an international level.

First, by developing innovative guidance material bringing together different disciplines that
lacked a consistent, harmonized approach for this particular purpose: health, ICTs and data
sciences. The deliverables in the four pillars (ethics; regulatory considerations; technical; clinical
evaluation and medical AI use cases), although existed in some form in other contexts, where
brought in as a consistent collection focusing on the AI for health problem space.

Second, by building a strong, international and diverse community of practitioners where, under
the auspices of ITU and WHO, health professionals, regulators, industry, academicians, data
scientists and ICT professionals worked together towards common, harmonized goals. Over
its five years of operation, more than 1 000 experts from across the globe regularly worked
together for addressing the various challenges.

It took a good time to build this community of experts and to properly scope the issues to be
tackled, and there is value in continuing the current momentum to further the conditions for a
safe and ethical adoption of AI in health worldwide. Consequently, ITU, WHO and WIPO agreed
to launch a successor collaboration platform in the form of a global initiative that would enable,
facilitate use and promote implementation of AI for health, leveraging the framework put into
place by the FG-AI4H and the community of practice that it convened.

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